ce-net

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is fully covered externally. The description adds only the returned field set, with no note on permissions, freshness, or what 'notification choices' actually contains; useful but thin, hence a 3 rather than higher.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with zero filler, front-loading the most identifying information (account id, display name). Nothing is padded or redundant.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description's enumeration of returned fields is doing real work and is the right move. However, it doesn't resolve ambiguity against the many sibling readers (whoami, profile_get, contact details via contacts_mine), so an agent still lacks enough to route confidently in this large toolset.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline is 4. Schema coverage is 100% and the empty object schema matches the description's implication of an argument-free call.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description enumerates what the tool returns (account id, display name, email, notification choices), which tells an agent the resource is the caller's own account. But it is a bare noun phrase with no verb, and it does not distinguish this from close siblings like whoami, profile_get, or identity_tree, leaving the agent to guess which read to use.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this versus account_update (the write counterpart) or the other identity/account readers in the sibling list. The only implicit signal is the word 'Your', which hints at the self-scoped read, but no explicit context or exclusion is given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare the mutation profile (readOnlyHint=false, idempotentHint=true, destructiveHint=false, openWorldHint=true), so the safety bar is lower. The description does add real value beyond that by disclosing field-level semantics: the name is publicly visible to other accounts while the email is private, plus a 1-60 character constraint. It stops short of saying whether omitted fields are untouched or cleared.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loads the verb and enumerates fields efficiently, but the description is a fragment that ends mid-parenthetical ("only you see..."), which reads as truncated rather than economical. An agent cannot tell whether the trailing content was load-bearing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a mutation tool with a nested-object parameter, zero schema description coverage, no output schema, and no annotations covering field behavior — the description is the only source of field semantics and it is both incomplete and truncated. The notify object and post-update response behavior are entirely undocumented.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must carry parameter meaning, and it does document name (length bound, visibility) and email (privacy). However, the nested notify.join_requests object parameter is never mentioned and the text is cut off mid-clause, so compensation is only partial.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

"Set any of: name..., email..." gives a verb plus the concrete fields being changed, so an agent can infer this edits the caller's own account. But the resource itself ("account") is never stated in the description, and the sentence trails off before the third field is covered, leaving the purpose mildly vague.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to pick this over the obvious sibling account_get, nor any prerequisites or state conditions. The agent must infer that mutating calls go here and read calls go to account_get.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=false, openWorldHint=true, idempotentHint=true, and destructiveHint=false, so the mutation and safety profile is covered structurally. The description adds one genuinely valuable fact not in annotations, that the key is shown once, which flags the output as non-retrievable. It omits other behavioral context such as scope effects, delegation via parent keys, or what identity is bound to.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single tight sentence with no filler and the key lifecycle warning front-loaded in parentheses. It is efficient, though the brevity is arguably under-specification rather than ideal conciseness for a 7-parameter tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, so the description must carry more weight, yet it covers only the identity creation and key-once behavior. For an identity-bootstrapping tool with delegation parameters and a scope enum, missing explanation of scopes and parent_key/parent_proof leaves an agent unable to configure itself correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are 7 parameters at 0% schema description coverage, and the description explains none of them. The scopes enum (read/post/pay/billing, plus parent_key/parent_proof delegation) is genuinely non-obvious, and this description gives the agent no way to know what 'name', 'about', 'pubkey', or 'scopes' should contain.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: creating an agent identity on ce-net and receiving its key. This clearly distinguishes it from siblings like agent_me (read self) or key_create (additional key). It does not explicitly name those siblings, keeping it below a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrasing implies a one-time bootstrap operation for a new agent, which gives some guidance about when to call it. However, there is no explicit statement of prerequisites, no mention of when to use key_create or account_update instead, and no guidance on re-registration after the key is lost.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true, idempotentHint=false and openWorldHint=true, so the safety profile is partly covered. The description adds genuinely new context: deletion cascades to all full and read-only keys held by the agent, and only the owner may do it. It stops short of saying the action is irreversible or describing the response.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence with zero filler, and the 'Owner only' restriction is front-loaded ahead of the effect. Every clause adds information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a destructive tool whose annotations already flag destruction, the description covers scope and authorization but leaves the mandatory `confirm` parameter unexplained and never states irreversibility. With 0% schema coverage and no output schema, that gap matters for a deletion tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must carry parameter meaning, and it largely does not. 'This key' hints that the optional `key` parameter identifies the agent, but nothing explains the required `confirm` boolean on an irreversible destructive operation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (delete) and a precise target: the agent that the presented key belongs to, plus the cascade scope ('with every key it holds'). It is clearly distinct from siblings like agent_join or agent_me, though it never names an alternative explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Owner only' communicates an authorization precondition, which implies who may call it. However, there is no guidance on when to prefer this over alternatives such as channel_leave or private_leave, and no statement of when-not-to-use or the consequences of a mistaken call.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare the operation read-only, idempotent, open-world, and non-destructive. The description adds the auth requirement ('Needs key'), which is useful, but does not explain return shape, scoping, or other behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loads the returned content before the auth note. It is efficient, though the phrasing is slightly awkward.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and 0% schema description coverage, the description should do more to explain parameters and return values. It partially describes the returned data but leaves 'proof' and response structure unspecified.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description only vaguely mentions 'key' while leaving 'proof' entirely unexplained. It does not compensate for the undocumented parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly lists the personal resources returned: profile, threads, and pending introduction count. It lacks an explicit verb and does not name sibling alternatives, but the aggregate personal-summary purpose is inferable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus siblings such as whoami, profile_get, threads_list, or intros. 'Needs key' states an auth prerequisite but does not clarify usage conditions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly, idempotent, non-destructive and open-world, so the safety profile is fully covered structurally. The description's only added signal is 'matches your words against...', which is cut off mid-sentence, so nothing is disclosed about matching behavior, ranking, result size, or scope of the 'ce-net' directory.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

There is only one sentence and it terminates in an ellipsis, meaning the description is not merely concise but incomplete. Nothing is front-loaded beyond the verb and resource, and the dangling 'matches your words against...' wastes the only slot that could have carried behavior or parameter detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, no annotation gaps, and 0% schema description coverage on three parameters, the description carries the full explanatory burden and delivers almost none of it. An agent knows roughly what the tool finds but not what to pass for 'key' or 'limit' or what comes back.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and all three parameters (q, key, limit) are bare, with no types-of-values or meaning documented anywhere. The description's 'matches your words' loosely maps to q but says nothing about 'key' or what 'limit' bounds, so it fails to compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Find') and resource ('the agents (and people) on ce-net') with a scoping condition ('who work on a project or topic'), which is clear enough to distinguish it from write-side siblings like agent_join. However it never differentiates itself from the many other search/discovery siblings (directory_search, mesh_search, twins_search), and the sentence is truncated mid-clause.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: the phrase 'work on a project or topic' suggests when this tool is appropriate, but there are no explicit when-not conditions and no named alternative among the numerous *_search siblings. An agent must guess whether this or directory_search/twins_search is the right entry point.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare this as a non-read-only, open-world, non-idempotent write operation, so the safety profile is partly covered. The description adds only that a live URL is produced, but says nothing about cost, whether repeated calls create duplicate sites (despite idempotentHint=false), what dry_run does, or what the truncated 'listed on...' clause implies about side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single sentence that is cut off with an ellipsis, so it is under-specified rather than concise. The important scoping detail is literally missing from the end of the string.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an 8-parameter creation tool with no output schema and no annotation detail about side effects, the description is far too thin. It omits what a created site includes, how the items/shop/template options shape the result, and what happens on failure or repeat invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across 8 parameters, so the description must compensate and largely fails: it only implies the `prompt` input and hints that `name` maps to the URL. Eight parameters including `items`, `price`, `currency`, `payments`, `template` (the only enum), `contact`, and `dry_run` are left completely unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description conveys that a natural-language prompt yields a generated live site at a predictable URL, which is a recognizable verb+resource. However, it is truncated mid-sentence ("listed on...") and never states how this differs from siblings like app_publish, site_publish, or site_list, so an agent must infer the distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use or when-not-to-use guidance and no mention of alternatives such as app_publish for updating an existing app. The only implied usage cue is 'describe the business in a sentence', with no prerequisites or follow-up steps described.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare this is a non-read-only, open-world, non-idempotent operation, so a mutation is happening; the description adds only 'Needs key' (an auth hint) and never says what publication entails, whether it is reversible, whether it is reviewed, or how it becomes visible to other agents. For a write operation with open-world effects, that is a substantial gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single sentence is short but broken off mid-thought with an ellipsis, so it is under-specified rather than concise. The one useful clause ('Needs key') is appended awkwardly after the truncation.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Six parameters with zero schema descriptions, no output schema, and no annotation-level detail about publication effects — the description would need to carry most of that burden and instead leaves the core parameters and outcome unexplained.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across six parameters, and the description explains only that a key is needed and that the target is an https URL. The required 'what' field, the 'kind' discriminator, and the 'proof' field are never explained anywhere, so an agent cannot confidently populate half the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description conveys that an app (MCP server, API, or https web app) is being made discoverable to other agents, which is more than a restatement of the name. However, the verb 'List' conflicts with the publish semantics implied by the tool name and is easily confused with the sibling apps_search / mcp_list, and the sentence trails off with an ellipsis ('so other agents...'), leaving the intended effect unstated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No indication of when to use this versus app_create, apps_search, mcp_list, mcp_unlist, or site_publish, despite those siblings covering adjacent listing/publishing territory. The only usage cue is 'Needs key', which is a prerequisite rather than a routing rule.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds one genuinely useful behavioral fact — a key (credential) is required — but says nothing about result limits, paging, or failure modes.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short fragments with no wasted words, and the result shape is mentioned first. However, telegraphic phrasing like 'Needs key' sacrifices clarity for brevity on a tool where the semantics matter.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

It does describe what results look like, which compensates for the absent output schema, and it notes the key requirement. Still missing: meaning of q and proof, and how this differs from the crowded set of other search tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across three parameters, so the description must carry the burden. It only gestures at 'key' ('Needs key') and leaves the 'q' query parameter and, more critically, the unexplained 'proof' parameter entirely undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the resource (apps listed by other agents) and even what a result contains — name, purpose, and callable https URL — which is enough to distinguish it from app_create/app_publish. The verb 'search' is only implied by the tool name, keeping it just short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this rather than the many adjacent discovery tools (directory_search, mcp_find, tools_search, agents_find). Only the prerequisite 'Needs key' is mentioned, which is a condition, not usage guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=false, idempotentHint=true, destructiveHint=false, and openWorldHint=true. The description adds the useful scope that it only affects proposals made by the caller's own account, but it does not explain permissions, persistence, or what auto-approve changes operationally.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single front-loaded sentence with no wasted words. Every element, including the own-account scope, earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple boolean toggle with rich safety annotations and no output schema, the description is minimally sufficient. However, 'proposals' remains ambiguous among the many proposal-related siblings, and the description does not say what auto-approve permits or whether existing pending proposals are affected.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must carry parameter meaning. It adequately communicates that the single required boolean controls whether auto-approve is on or off, though it adds no detail about default behavior or effect on existing proposals.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action (turn auto-approve on or off) and scopes it to proposals made by the caller's own account. It is clear enough to distinguish this from unrelated siblings, but it does not explicitly differentiate it from proposal-related tools such as source_propose or permission_propose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description identifies the action but gives no guidance on when to use this tool versus alternatives, nor does it mention prerequisites or side effects. The toggle semantics are implied by the name and description, but an agent receives no explicit usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description adds real behavioral value beyond the annotations: it discloses the pricing mechanic (5% or at least 1.00 over the next bidder, capped at your max), which tells the agent that actual payment may differ from the supplied value. However, the sentence is cut off before stating what happens at auction close, whether the bid can be outbid, or whether funds are held — gaps that matter for a non-idempotent, open-world write.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single sentence is efficient in intent but is truncated mid-clause, meaning the definition as delivered is literally unfinished. That is under-specification rather than conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a non-idempotent, open-world financial write with zero schema documentation and no output schema, the description should cover outcomes, failure modes, and listing expectations. It is cut off before any of that, leaving the agent without enough to invoke it confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must carry the burden. It explains `max` well (a ceiling, not the amount paid) but says nothing about `listing` beyond the implied context, and the truncation leaves the max semantics incomplete.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The verb 'Bid' plus the pricing rule identifies the action as placing a maximum bid on a listing, but the sentence is truncated ('never more than your...') so the core promise of the tool is never fully stated. It does not distinguish itself from siblings like buy_now, offer_counter, or offer_post.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this versus buy_now or offer_counter, nor any preconditions (e.g., an open auction, an existing listing, account funds). The agent must infer everything from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare the tool is read-only, idempotent, non-destructive, and open-world, so the safety profile is covered. The description adds the scope of data returned (plan, credit, compute jobs, and builds against limits), which is useful context, but it does not disclose freshness, auth requirements, or return format beyond that content list.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short and front-loads the purpose, which is good. However, it is a sentence fragment with a trailing ellipsis, suggesting incompleteness rather than a fully structured definition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter read tool with annotations covering safety and no output schema, the description is adequate but incomplete. It lists data categories but does not clarify return structure, time range, or how it relates to sibling billing or payment tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so the baseline is 4. The description does not need to explain parameter semantics, and there is no schema detail to supplement.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource (account usage and purchases) and enumerates the key data categories: plan, credit, compute jobs, and builds against limits. It is clear what the tool returns, but it does not explicitly differentiate itself from siblings like account_get or pay_status.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description offers no guidance on when to use this tool versus alternatives, and it does not state any prerequisites or exclusions. The implied use case is inferable from the name and content, but the description itself provides no routing guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate this is a write operation, non-idempotent, and non-destructive. The description adds useful flow context: an order the seller accepts, then a payment link. However, it omits details like permissions required, reversibility, or what happens if the seller rejects, and the '(ce-net's own listings)' parenthetical is ambiguous.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loads the main action, but the trailing ellipsis suggests truncation and the parenthetical is confusing, reducing clarity and completeness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a financial mutation tool with no output schema and only 0% parameter coverage, the description is too sparse. It omits error conditions, return values, and the full lifecycle after payment link creation, leaving critical gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It does not mention the 'listing' or 'quantity' parameters at all. At best, 'Buy a fixed-price listing' implies the listing parameter, but no format, enum, or default information is provided.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb (buy) and resource (fixed-price listing), and clarifies it creates an order and payment link. However, it does not explicitly differentiate from siblings like bid_place or offer_post beyond the 'fixed-price' qualifier, which is helpful but not sibling-naming.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The 'fixed-price' phrasing implies use for immediate purchase rather than bidding or making offers, but no explicit when-to-use, when-not-to-use, or alternatives are named. Prerequisites such as account or payment setup are absent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true, openWorldHint=true, and idempotentHint=false, lowering the description's burden. The description adds only 'JSON in and JSON out' and does not clarify what side effects occur, whether authorization is required, or how destructive calls behave.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded, but it is under-specified rather than efficiently concise. The parenthetical cells_find pointer is useful, while 'JSON in and JSON out' is only marginally informative.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a destructive, open-world, non-idempotent generic call tool with five undocumented parameters and no output schema. The description does not provide enough information for an agent to safely construct a call or understand its consequences.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for all five parameters, and the description mentions none of them directly. It does not explain the required cell and op parameters or the optional cap, args, and device fields, leaving the agent with no semantic guidance beyond the schema's bare names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a verb-resource pair ('Call one op of a cell') and points to cells_find for discovery, so the basic action is identifiable. However, 'op' is undefined, and it does not distinguish this tool from siblings such as code_call, integration_call, or collab_op.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The only usage cue is '(see cells_find)', which helps with finding a cell but says nothing about when this tool should be used versus code_call or integration_call. There are no prerequisites, exclusions, or failure conditions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false, so safety is covered. The description adds useful context about data granularity ('hour by hour') and provenance ('open sources'), but does not mention coverage, pagination, or what the returned list contains.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no wasted filler and the resource is front-loaded. The second clause is ambiguous, but the overall form is concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter, read-only tool the description is minimally adequate: it identifies the data theme and source type. It falls short by suggesting event- and source-specific behavior that the tool cannot accept parameters for, and by not clarifying its relationship to the dedicated sibling tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so the baseline is 4. No parameter-level semantics are needed, and the schema is trivially complete.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the resource ('Major disasters told hour by hour from open sources') but does not state a clear action or scope. It confusingly claims to support 'the list, one event, or its sources' even though sibling tools cell_data_disasters_event and cell_data_disasters_sources exist for event/source access.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus its siblings. The phrase 'the list, one event, or its sources' implies overlapping capabilities without saying which tool to choose for each case, leaving the agent to infer.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=false, destructiveHint=false, so safety is covered. The description contributes only 'hour by hour from open sources' (data provenance/granularity); it says nothing about pagination, time-range expectations, rate limits, or what the response looks like for each of the three claimed modes.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence with no filler, which is the right size in principle. However, the front-loaded phrasing 'told hour by hour' is evocative rather than informative, and the post-colon list is compressed to the point of ambiguity rather than clarity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only, open-world data tool with an untyped catch-all parameter and no output schema, the description carries the full burden of explaining invocation — and it does not. An agent cannot tell how to shape 'input' for list vs. single-event vs. sources, nor what it will receive back.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is exactly one parameter, named 'input', with a completely empty schema and 0% description coverage — its type, accepted fields, and shape are entirely undocumented. The description's phrase 'the list, one event, or its sources' implies the input is polymorphic, but gives no indication how to express each case, so an agent cannot construct a valid call from either the schema or the description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

"Major disasters told hour by hour from open sources" identifies the resource (disaster events) and hints at temporal granularity, but the operative verb is missing — the tool apparently either lists events, fetches one event, or returns its sources, and the description never says which mode it selects or how. That ambiguity is worsened by siblings cell_data_disasters and cell_data_disasters_sources, whose overlap with this tool is not disambiguated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this instead of cell_data_disasters or cell_data_disasters_sources, despite those siblings existing and this description claiming to cover 'the list, one event, or its sources' — i.e. the same territory. No preconditions, no exclusions, and no guidance on which input shape triggers which mode.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, openWorldHint=true, destructiveHint=false and idempotentHint=false, so the safety profile is covered. The description adds some genuine context — data is reported 'hour by hour' and aggregated from 'open sources' — and hints at a three-mode dispatch, but never explains how mode selection works or what a call returns. Adequate against a lowered bar, not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short sentence with no filler, which is good, but that brevity comes at the cost of a garbled construction ('the list, one event, or its sources') that reads more like a fragment than a front-loaded statement of purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool whose only parameter is a free-form untyped object with no output schema and two near-identically named siblings, the description should carry nearly all the explanatory weight. It does not — it omits input shape, mode semantics, return content, and sibling routing, leaving the agent with too little to invoke it reliably.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the single parameter is a bare untyped `input` object with no properties, enum, or shape. The description is the only source of parameter meaning and it gives none — no format, no example, no key names for the 'list / one event / sources' modes. An agent cannot construct a valid argument from this.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a resource ('major disasters ... from open sources') and gestures at three modes ('the list, one event, or its sources'). But it does not cleanly say what the tool does in a single readable verb, and its stated scope overlaps almost verbatim with the siblings 'cell_data_disasters' and 'cell_data_disasters_event', so an agent cannot tell from the description why it would pick this one.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use, when-not-to-use, or alternative is given. The phrase 'the list, one event, or its sources' implies multiple modes but never says which conditions select which mode, and the two clearly related siblings are never mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered without prose. The description adds useful behavior detail: it is a fuzzy free-text match and the response includes country, coordinates and population. It says nothing about match ranking, partial-match behavior, or what an empty result looks like.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence with zero filler, front-loading the input convention before the return shape. Nothing could be cut without losing information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, it correctly compensates by naming the returned fields (country, coordinates, population). For a simple two-parameter tool that is close to sufficient, but the unexplained required 'limit' and the absence of any note on result ordering or no-match behavior leave a meaningful gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must carry the parameter burden. It usefully clarifies that 'text' is free-form natural-language place input, but 'limit' — a required integer — is never explained: no maximum, no default, no guidance on result count. Half of the two-parameter surface remains undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The verb-plus-resource is concrete: match free-text place names and return cities with country, coordinates and population. An agent can tell it is a geocoding lookup rather than a sensor or search tool. However, it never names a sibling or states how it differs from a broader lookup such as cells_find or mesh_search.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'type a place the way a person would' implies the use case: free-text, human-style place input rather than structured IDs or coordinates. There is no explicit when-to-use/when-not guidance, no mention of what to do if no city matches, and no routing to an alternative tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare readOnlyHint=false, openWorldHint=true, idempotentHint=false, yet the description reads as a pure informational lookup, and it adds no behavioral context of its own (permissions, whether a non-member can query, failure modes when the cell is unknown). Note the tension between the implied read-only query and readOnlyHint=false, though the fragment is too thin to be an outright contradiction. With annotations covering only the flag surface, the description should carry more of this burden and does not.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short with no filler, but it is an under-specified sentence fragment rather than a concise specification. Brevity here costs information rather than saving it.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema and no schema descriptions, so the description is the only place to explain what a successful result looks like (repo, owner list, team shape) and what happens on an unknown cell or unauthorized org. It supplies none of that for a two-parameter open-world tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%: neither 'org' nor 'cell' is documented in the schema. The description only implicitly gestures at both ('a cell in the org') and gives no format, identifier style, or validation hints, so it does not compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The fragment identifies the resource (a cell's ownership) and the fields returned (repo, owners, team), so an agent can guess it is an ownership lookup. But it is phrased as a noun clause rather than a verb+resource statement, and it never distinguishes itself from nearby siblings such as cells_find, my_cells, host_cell, or cell_call.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to call this versus alternatives, no prerequisites (does the caller need org membership?), and no exclusions. The agent must infer usage entirely from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already disclose that this is a non-destructive, non-idempotent, open-world mutation. The description adds useful scope—publishing for every ce-net account—but omits any explanation of effects, permissions, or what happens to existing cells.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The single sentence is concise but underspecified for a 7-parameter mutation tool. It is front-loaded with the verb but lacks the detail needed to make the sentence useful.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity (7 parameters, no schema descriptions, no output schema, mutation with open-world behavior), the description is far too sparse. It gives a broad action and scope but leaves out essential invocation details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 7 parameters and 0% schema description coverage, the description must compensate but instead provides no information about any parameter. It does not explain what 'cell', 'what', 'files', 'git', 'commit', 'source', or 'tarball' mean or how to supply them.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description has a specific verb 'publish' and resource 'cell', but both 'cell' and 'ce-net account' are unexplained jargon. It does not differentiate from siblings like cell_call, cells_find, or host_cell, leaving the agent to infer the exact action.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool, when not to use it, or what alternatives exist. The statement is purely declarative with no context for selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare read-only, idempotent, open-world, non-destructive behavior, so the safety profile is covered. The description adds only the short-answer and per-fact cell-citation expectation, without explaining rate limits, auth, or how prior results are selected.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The definition is a single compact sentence with no filler and puts the citation constraint up front. Its brevity is appropriate, though the fragmentary phrasing slightly reduces clarity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter read-only tool with no output schema, the description should at least define the input and clarify the return contract. It partially describes the answer format but leaves the input semantics and the link to prior search results under-specified.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is one required string parameter named input, with 0% schema description coverage, and the description never says whether input is a query, a question, or a reference to prior results. It only obliquely mentions 'a search,' so it does not compensate for the schema gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description frames the tool as producing 'A short answer to a search, from the results you were shown' with each fact citing a cell reference. That gives a rough sense of purpose but does not use a clear verb+resource framing or distinguish it from search siblings like cells_find or source_search.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It implies the tool operates on results already shown, but gives no explicit when-to-use versus alternatives, no prerequisites, and no exclusions. An agent must infer whether to call this instead of cells_find or another ask-style tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, destructiveHint=false and openWorldHint, so the safety profile is covered. The description adds only geographic scope and a confusing 'past moment' capability that the zero-parameter schema does not appear to support, which risks misleading the caller about freshness and time selection.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short sentence with the resource front-loaded, which is good, but the trailing clause is ambiguous and effectively wastes its space by raising an unresolved question about the time dimension.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter, read-only, open-world sensor feed with no output schema, 'every ship reporting AIS around Finland' roughly conveys what comes back. Missing are freshness/update cadence and any hint at payload shape or volume, and the 'past moment' claim is left unexplained.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With zero parameters there is nothing for the schema to document, so the baseline would be 4. However, the description implies a time argument ('or at a past moment') that has no corresponding parameter, creating a semantics mismatch rather than adding clarity.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

It identifies the resource (AIS ship reports around Finland) with reasonable specificity, but the trailing clause 'or at a past moment' blurs the purpose rather than sharpening it, especially since a sibling named cell_sensor_ais_fi_at presumably owns the historical case. An agent cannot tell from the description alone whether this tool covers both time modes or only live data.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance and no explicit routing to alternatives such as cell_sensor_ais_fi_at, cell_sensor_ships, or cell_sensor_roads_fi. The agent must infer selection criteria from tool names alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already establish that this is a read-only, open-world, non-idempotent, non-destructive operation. The description adds useful temporal context by noting current versus past-moment queries, but it does not describe data freshness, rate limits, or return behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence with the resource and temporal scope front-loaded. It avoids filler, though the fragmentary phrasing leaves some ambiguity about the exact operation.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, an undocumented generic 'input' parameter, and no detailed usage guidance, the definition is too sparse for an agent to call the tool confidently. It needs to explain the expected input format and how to request current versus historical data.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single required parameter is named 'input' with no schema description and no type information. The description hints that a 'past moment' can be requested but does not explain how to specify that moment or what the input should contain.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies a clear resource and scope: AIS-reporting ships around Finland, with current or historical timing. However, it does not explicitly state the action (retrieve/query) and does not differentiate this tool from sibling cell_sensor_ais_fi.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It mentions that the tool can be used 'now, or at a past moment,' which implies temporal usage, but it gives no guidance on when to choose this tool over cell_sensor_ais_fi or other sensor tools. There are also no prerequisites or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, openWorldHint=true, destructiveHint=false, and idempotentHint=false, so the safety profile and non-idempotent live behavior are covered. The description adds geographic and temporal context ('across North America', 'now, or at a past moment') but does not explain freshness, update cadence, or what the result represents. The temporal claim is also questionable given the empty schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single front-loaded sentence with no wasted words. It is appropriately brief for a zero-parameter sensor tool, though that brevity contributes to the unresolved ambiguity about time selection.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only, zero-parameter sensor with annotations and no output schema, the description gives only high-level scope. It omits what is returned (positions, schedule, status), how fresh the data is, and how it relates to cell_sensor_amtrak_at. Those gaps matter because the description simultaneously suggests past-moment capability that the schema cannot support.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are zero parameters, so there are no parameter semantics to document; baseline is 4. The only concern is that the description implies a time-selection capability that the schema does not expose, but that is a scope issue rather than a parameter-documentation failure.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the resource as passenger trains across North America, which is clear. However, it says the tool works 'now, or at a past moment' without explaining how to request a past moment and without distinguishing it from the sibling cell_sensor_amtrak_at, which likely handles historical queries. This leaves the tool's exact scope ambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no explicit guidance on when to use this tool versus the dedicated historical sibling cell_sensor_amtrak_at. It implies both current and past usage, but the zero-parameter schema means an agent cannot actually specify a past moment, so the usage guidance is misleading rather than merely absent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations already establish read-only, open-world, and non-idempotent behavior, so the description does not need to restate safety. It adds the data subject and that historical moments are supported, but it does not explain how the moment is specified, whether the result is a snapshot, or what the response contains.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short sentence with no filler, and the key scope is front-loaded. The brevity is efficient, though the missing details are better assessed under completeness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a sensor tool with an opaque required input and no output schema, the description should explain how to select now versus a past moment and what is returned. It does neither, so the definition is materially incomplete for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The sole parameter is an undescribed 'input' object with 0% schema description coverage. The phrase 'past moment' faintly implies a time argument, but it gives no type, format, or constraint, leaving the agent to guess what should be passed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the data domain (passenger trains across North America) and a temporal scope (now or a past moment), but it uses a noun phrase rather than a clear verb such as get or list. It also does not distinguish this _at variant from sibling cell_sensor_amtrak, so an agent cannot confidently tell which tool retrieves which temporal slice.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use guidance or named alternative. The phrase 'now, or at a past moment' hints at temporal coverage but does not say when to prefer this _at tool over the non-_at sibling cell_sensor_amtrak.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly, openWorld, non-destructive and non-idempotent, so the safety profile is covered. The description adds two genuinely useful facts beyond them: the result is a live snapshot ('right now') and the query box is capped at 10 degrees. It does not say what happens when the cap is exceeded, whether results are rate-limited or truncated, or roughly how many aircraft come back.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with the resource first and the constraint second. No filler, no restatement of the tool name.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a four-required-parameter live sensor read with no output schema and no annotation detail on returns, the description should say what a result record contains (callsign, position, altitude?) and whether the response is bounded. Those gaps matter for an agent deciding whether one 10-degree box suffices or whether it must tile multiple calls.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must carry the load; it contributes the important 10-degree extent limit on the box. It adds nothing about coordinate system (WGS84 decimal degrees), ordering of south/west/north/east, or validation errors, so the four required params remain only partially characterized.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Names a specific resource (aircraft broadcasting ADS-B) and a precise spatial scope (a bounding box of up to 10 degrees), which distinguishes it from ship, satellite and rail siblings. The verb is only implied ('every aircraft ... right now'), but the query semantics are unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use or when-not guidance and no named alternative. The phrase 'right now' implicitly contrasts with the sibling *_at variants (e.g. cell_sensor_ais_fi_at) for historical queries, but the agent must infer that routing itself.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, destructiveHint=false, openWorldHint=true and idempotentHint=false, so the safety profile is covered. The description adds the useful fact that the payload is a real-time snapshot ('now'), but the claim that it also covers 'a past moment' conflicts with an empty parameter schema and muddies the freshness guarantee.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence is appropriately sized, and the geographic/data scope is front-loaded. However, the trailing 'or at a past moment' clause earns no place: with no time parameter, it cannot be acted on and only invites an incorrect invocation.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description is the only source of information about what comes back, and it says nothing about the return shape (vehicle positions vs. departure times vs. route lists) or freshness semantics. For a zero-parameter, open-world sensor tool the description should at least state what the caller receives and how the sibling _at variant differs.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. The only parameter-adjacent statement ('at a past moment') is unactionable given the schema, but no parameter-level gap is created.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource (Helsinki public transport: buses, trams, metro, ferries) but supplies no verb, leaving the operation (fetch/stream) implicit. Critically, it does not distinguish itself from the sibling cell_sensor_hsl_at, and its 'or at a past moment' clause blurs the boundary rather than sharpening it.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use guidance and no named alternative, despite a directly competing sibling (cell_sensor_hsl_at) that appears purpose-built for the historical case. The agent must infer from the naming convention alone which of the two to call.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, openWorldHint=true, destructiveHint=false, so safety is covered. The description adds nothing about how a 'past moment' is expressed, whether historical snapshots are available for all modes or limited retention, or why idempotentHint=false matters when querying a fixed past time. It restates the topic rather than explaining behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with no padding, so nothing is wasted. However, its brevity comes from omitting essentials rather than from tight editing, and the least useful part ('now') is front-loaded while the temporal-query mechanics are absent.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given an opaque required parameter, no output schema, and a same-named sibling for live data, the description needs to explain both the input shape and the past-vs-now routing. It does neither, so an agent has to guess before calling.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

One required parameter named 'input' with an empty schema (0% coverage) and no enum or nesting. With zero structured guidance, the description carries the full burden of explaining what 'input' should contain (a timestamp? an ISO string? a place?), and it says nothing about it. This is the critical failure for this tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource (Helsinki buses, trams, metro and ferries), which is concrete. But it explicitly covers both 'now, or at a past moment', which fails to distinguish this tool from its sibling cell_sensor_hsl and actually erases the only thing the '_at' suffix signals. An agent cannot tell from the text alone which of the two siblings is the historical one.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No statement of when to use this versus cell_sensor_hsl, no prerequisite or exclusion. The only implicit cue is the phrase 'at a past moment', which is presented as an option this tool shares with its sibling rather than as the condition that selects it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations already declare readOnlyHint, openWorldHint, idempotentHint false, and destructiveHint false, so the safety profile is covered. The description adds almost nothing about the live external feed's behavior, update cadence, or what the position value actually contains. The temporal capability claim is also inaccurate, adding noise rather than useful transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single front-loaded sentence that gets to the resource immediately. It is concise, though the trailing 'or at a past moment' clause is misleading and does not earn its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple zero-parameter sensor call, the description is minimally adequate. However, with no output schema, it should explain what 'position' means (e.g., coordinates, timestamp, altitude) and should clarify why this differs from cell_sensor_iss_at.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters with 100% schema description coverage, so there are no parameter semantics that the description needs to clarify. The baseline for a parameterless tool is 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the resource as the space station's position, which is reasonably specific. However, it adds 'or at a past moment' despite the tool taking zero parameters, which conflicts with the existence of the sibling cell_sensor_iss_at and makes the temporal scope ambiguous. An agent cannot confidently distinguish this tool's purpose from its _at sibling.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit guidance on when to use this tool versus the sibling cell_sensor_iss_at. The phrase 'now, or at a past moment' is misleading because this no-parameter tool cannot accept a past moment, yet no exclusion or routing advice is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, openWorldHint, idempotentHint=false and destructiveHint=false, so the safety profile is covered. Beyond that the description adds nothing: no note on data source/freshness, rate limits, or why the tool is non-idempotent despite being a read.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with the temporal scope front-loaded and no wasted words. Its brevity, however, comes at the cost of the missing input/return detail, so it reads as under-specification rather than economy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and a completely undescribed parameter, the description needed to carry the full burden. It does not say what the position is expressed in (lat/lon, orbital elements), nor how the time argument is supplied, which leaves an agent unable to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the single parameter is declared as an untyped, undescribed `input: {}`. The description's 'at a past moment' is the only clue that the argument is a timestamp, and it gives no format (ISO 8601, unix epoch) or behaviour when omitted.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific resource (the space station / ISS) and what is returned (its position), and adds the temporal scope 'now, or at a past moment'. It does not, however, explicitly distinguish itself from the sibling cell_sensor_iss, which on the face of it also sounds like a 'now' query, so the boundary is left implicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to choose this over cell_sensor_iss or cell_time_instant, and no precondition such as 'pass a timestamp to query history'. The phrase 'or at a past moment' only hints at usage; the agent must infer the rest.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare read-only, non-destructive, open-world behavior. The description adds useful scope details (100-result cap, worldwide coverage), but it does not mention freshness, ordering by launch window, timezone handling, or data source.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single compact sentence with zero wasted text. The result limit, geographic scope, and returned field names are all front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter sensor with no output schema, the description gives sufficient high-level context: what is returned, how many, and which fields. Minor gaps around ordering, time range, and freshness keep it from a 5.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so there are no parameter semantics to explain; a baseline of 4 is appropriate. The listed fields describe the response rather than parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific resource and scope: the next 100 launches worldwide, with the returned fields rocket, mission, pad, and window. It is clear what the tool retrieves, but it does not explicitly distinguish itself from the sibling cell_sensor_launches_at tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: the phrase 'next 100 launches' suggests upcoming-launch lookup. There is no explicit when-to-use guidance, no exclusions, and no pointer to the likely alternative cell_sensor_launches_at.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already disclose that the tool is read-only, open-world, non-idempotent and non-destructive. The description adds useful scope—next 100 launches worldwide and returned fields—but does not explain the role of the required input, time semantics, freshness, or behavior of the '_at' variant.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single front-loaded sentence with no wasted words. It is concise, though its terseness contributes to the missing usage and parameter context.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with a required but entirely undocumented input and no output schema, the description is not complete enough. It lists some returned fields, but does not explain how to invoke the tool or how it differs from its sibling.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has one required parameter named 'input' with no type, description or structure, and the description does not mention or clarify it at all. With 0% schema description coverage, the description fails to compensate for a completely opaque required parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the resource and scope: the next 100 launches worldwide, including rocket, mission, pad and window fields. It lacks an explicit verb and does not distinguish this tool from the sibling cell_sensor_launches, but the data purpose is still understandable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives. The sibling cell_sensor_launches exists, and the '_at' suffix strongly suggests a meaningful distinction, but the description never explains when this variant should be chosen.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, openWorldHint, non-destructive and non-idempotent, so the safety profile is covered. The description adds nothing further: no mention of what the feed returns (vehicle positions vs. arrival predictions), update cadence, or coverage limits, and the 'past moment' claim is unactionable given zero parameters.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short, front-loaded sentence with no filler. It is arguably under-specified rather than verbose, but nothing in it is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter live sensor feed with no output schema, the description should say what an agent will receive and how fresh it is. It says neither, and the 'past moment' clause conflicts with an empty input schema, leaving an agent unsure how to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes no parameters, so the baseline is 4; there is nothing for the description to compensate for. The only risk is the 'past moment' phrasing implying a time argument that the empty schema does not expose.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Names a specific data source and scope (MBTA buses, subway, commuter rail), so the resource is identifiable, but the verb is implicit and there is no differentiation from the sibling cell_sensor_mbta_at, which the trailing phrase 'or at a past moment' seems to gesture at.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to call this versus cell_sensor_mbta_at or other transit sensors (amtrak, nyc_subway, trains_fi). Usage must be inferred entirely from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations cover the safety profile (readOnly, openWorld, non-idempotent, non-destructive), but the description adds nothing about coverage lag, refresh rate, or what a 'past moment' snapshot returns. For an open-world live-data feed with a time dimension, the behavioral burden is largely unmet.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One short sentence, resource stated up front, no filler. The brevity is appropriate in form, though it comes at the cost of the missing parameter and usage detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 0% schema description coverage, an untyped 'input' object, and no output schema, the description needed to carry nearly all the explanatory weight and does not. An agent cannot confidently construct the call from this definition.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single parameter is named 'input' with an empty schema ({}), 0% coverage and no type. The description only vaguely gestures at 'a past moment' without stating that the parameter is a timestamp, its format, or whether it is optional. This is the biggest gap in the definition.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

It names a concrete resource (MBTA buses, subway and commuter rail) and a temporal dimension, so the agent knows roughly what data it returns. But the phrase 'now, or at a past moment' makes it indistinguishable from the sibling cell_sensor_mbta, which is presumably the current-only variant; the '_at' contract (point-in-time snapshot) is never stated explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to pick this over cell_sensor_mbta, or over the many other cell_sensor_*_at siblings. The temporal hint is the only selection signal, and it is ambiguous rather than directive.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=false and destructiveHint=false, so the safety profile is covered. The description adds nothing on the traits that actually matter for a live transit feed — data freshness, refresh cadence, geographic scope, or error/empty behavior when a line is out of service.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short noun-phrase, front-loaded with the resource and free of filler. It is terse to the point of being a fragment rather than a sentence, but every word carries information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no parameters, the description is the only place an agent can learn what comes back, and it names only three attributes (trains, next stop, heading) without saying whether these are per-train records, live vs. scheduled, or scoped to the whole system. Minimally usable, but thin for a sensor tool whose output shape is otherwise undocumented.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate; the baseline of 4 applies. The description neither contradicts nor needs to supplement the empty schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource (New York subway trains) and the data facets (next stop, destination), which goes beyond the bare name. However, there is no verb — it does not say whether it lists, queries, or streams trains — and it does nothing to distinguish itself from the sibling cell_sensor_nyc_subway_at, which appears to be a variant of the same feed.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance at all: no indication of when to prefer this over cell_sensor_nyc_subway_at, whether results are a live snapshot, or whether the caller should filter by train or line after retrieval. For a zero-argument feed tool that always returns everything, an explicit statement of scope would have been cheap to add.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds some value by indicating the returned data includes next stop and direction, but says nothing about the required input format, coverage area, or response behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One short, front-loaded sentence with no filler. It is concise, though it omits necessary detail, which is penalized under contextual completeness rather than here.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter sensor tool with no output schema, the description should at minimum explain what the required input is and what the call returns. It gives a vague data summary but leaves the invocation contract unclear.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has a single untyped 'input' parameter with 0% description coverage. The description never explains what 'input' is (presumably a location or station), so the agent must guess the required value; only the '_at' suffix provides a weak hint.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the data domain (NYC subway trains, next stop, direction) but does not identify the action or explain the '_at' variant. The sibling cell_sensor_nyc_subway exists and is not distinguished, so an agent cannot tell when this tool should be selected over it.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool, what the required 'input' should contain, or how it differs from cell_sensor_nyc_subway. The agent is left to infer everything from the tool name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already establish readOnly=true, openWorld=true, destructive=false, so the safety profile is covered. The description adds only data provenance (USGS) and says nothing about result ordering, freshness/lag of the upstream feed, empty-result behavior, or whether the non-idempotent hint means results shift as new quakes are recorded.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded clause with no filler; source and filter axes come first. It is efficient, though the terseness is part of why parameter and behavioral detail is missing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool taking seven required numeric parameters with no schema descriptions and no output schema, one sentence is not enough. The agent cannot tell coordinate order, magnitude scale, epoch units, or a sane limit value from the definition alone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for seven required parameters, so the description must carry the burden. 'By magnitude, area and time' hints at the min_mag / bounding-box / since_unix grouping but gives no units, conventions, or bound relationships, and 'limit' is not mentioned at all.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Names a specific resource (earthquakes), the upstream source (USGS), and the three filter axes (magnitude, area, time). It is distinguishable from the cell_sensor_* siblings since none of them deal with seismic data, but it never states that distinction or the tool's relationship to the family.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use, when-not-to-use, or alternative is given. An agent must infer that this is a query-only, externally-sourced feed and that the *_at variants in the sibling list are unrelated real-time streams.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds domain context about live or historical traffic flow and speed, but it does not explain return behavior, freshness guarantees, authentication needs, or how the temporal distinction actually works.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single front-loaded sentence with no wasted words. It efficiently states the resource and the kind of data returned.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter read-only sensor tool, the description gives the essentials. However, the phrase 'now, or at a past moment' is ambiguous because no parameter allows selecting a past moment, and the sibling cell_sensor_roads_fi_at is not mentioned or ruled out, leaving a meaningful gap in temporal routing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so there are no parameter semantics for the description to clarify. The baseline for a parameterless tool is a 4, and the description does not introduce any misleading parameter expectations.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific resource (traffic counting stations on Finnish roads) and the data provided (flow and speed). It is clear enough to distinguish from unrelated siblings such as trains or wildfires, but it does not explicitly differentiate itself from cell_sensor_roads_fi_at, the obvious temporal sibling.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit guidance on when to use this tool versus alternatives. The phrase 'now, or at a past moment' hints at temporal usage, but it does not tell the agent when to choose this tool over cell_sensor_roads_fi_at or how a past moment would be requested with zero parameters.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety and external-data profile is covered. Beyond that the description only says which quantities exist; it discloses nothing about how the 'past moment' is addressed, whether historical queries have retention limits, or what form the observation stream takes (no output schema exists to pick up that slack).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence that front-loads the resource and then lists the measurements. It is appropriately sized and wastes no words, though the second clause is the source of the sibling ambiguity noted above.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with an opaque untyped 'input' object, no output schema, and eight sibling sensor variants, the description is far too thin. An agent can guess the domain but cannot construct a valid call or know how to ask for a historical reading versus the current one.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is one required parameter named 'input' with no type, no properties and 0% schema description coverage, so the schema contributes nothing. The description does not compensate in the slightest — it never explains what 'input' should contain (coordinates? station id? a timestamp for the 'past moment'?) even though that timestamp question is the whole point of the '_at' variant.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

It names a concrete resource ('traffic counting stations on Finnish roads') and the measurements returned ('flow and speed'), so the domain is clear. But it never distinguishes this tool from its obvious sibling cell_sensor_roads_fi, and the phrase 'now, or at a past moment' actually blurs the boundary rather than sharpening it, leaving the '_at' suffix unexplained.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to pick this over cell_sensor_roads_fi or the other cell_sensor_*_at variants. The 'now, or at a past moment' wording implies the tool covers both cases, which gives the agent no selection rule at all and may push it toward the wrong sibling.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety and externality profile is covered. The description adds useful provenance (CelesTrak) and states that orbital elements are returned, but it leaves the surprising idempotentHint=false unexplained — an agent would want to know whether repeated identical queries can return different result sets.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single tight sentence with no filler, and the resource plus filter are front-loaded. It is arguably too terse rather than padded, but nothing in it is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with three required, fully undocumented parameters and no output schema, the description should have specified valid 'kind' values (e.g. catalogue groups), what 'name' matches (satellite, group, or operator), and what the orbit payload looks like (TLE lines vs. Keplerian elements). None of that is present, so an agent cannot call it correctly without trial and error.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for all three required parameters, so the description must compensate and largely does not. It vaguely maps 'kind' and 'name' but frames them as alternatives ('by kind or name') while the schema requires both, and it says nothing at all about 'limit' (max results? page size? units?). This leaves the agent guessing on every parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Identifies the resource (active satellites), the upstream source (CelesTrak), the filter dimensions (kind or name) and that orbital data is included. It is distinguishable from siblings like cell_sensor_iss or cell_sensor_launches because it implies a general catalogue rather than a single object. The verb is implicit (fetch/list) rather than stated, which keeps it just short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to choose this over cell_sensor_iss, cell_sensor_launches, or cell_sensor_sondes, and no mention of prerequisites or rate/refresh considerations for a live external feed. The only usage signal is the phrase 'by kind or name', which is ambiguous about whether the two are alternatives rather than both required.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations already declare this a read-only, open-world, non-destructive operation, so the safety profile is covered. The description adds the 5-degree size ceiling and the shape of the returned fields, which is useful context. However, it leaves the odd idempotentHint=false unexplained for what is ostensibly a pure query, and says nothing about rate limits, result caps, or units of speed/course.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with zero filler. The scope constraint and the returned fields are both delivered immediately, and nothing is repeated from the schema or annotations.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description carries the return-value burden, and naming the four fields helps. But it is thin for a geospatial query: no coordinate conventions, no note on result volume or truncation when the box is dense with traffic, and no mention of the AIS data source's freshness. Adequate, not complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%: south, west, north, east are bare numbers with no units, ordering, or antimeridian guidance. The description only partially compensates, conveying that the four values form a box with a 5-degree total span, but nothing about degrees-vs-decimal conventions, coordinate order, or behavior when west > east. For an all-undocumented 4-parameter tool, the description should do more.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a concrete resource (AIS ship reports) and a concrete scope (a bounding box), so an agent knows it returns vessel positions rather than, say, flights or weather. It also lists the returned fields (name, destination, speed, course), which sharpens the picture of what the tool produces. It does not differentiate itself from similar siblings such as cell_sensor_ais_fi or ship_quote, which keeps it out of 5 territory.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

"Inside a box of up to 5 degrees" is a real usage constraint that tells the agent how to size the query, which is more than nothing. But there is no explicit statement of when to prefer this tool over the Finnish AIS sibling or ship_quote, nor any warning about what happens if a larger box is requested.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds only the 'today' time window and the returned measurements; it says nothing about freshness, timezone, volume of results, or whether the feed is empty outside certain regions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with the resource front-loaded and no filler. It is efficient, though it is terse to the point of leaving ambiguity that a few more words could have resolved.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no parameters and no output schema, the description carries the full burden of explaining what comes back, and it only gestures at this via 'height, speed and climb'. It omits what a radiosonde record looks like, whether the list is bounded, and how it differs from the _at variant, leaving meaningful gaps for a data-feed tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters and the schema is empty, so there is nothing for the description to disambiguate. Baseline 4 applies; the description does not need to compensate for any parameter gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the resource (radiosondes) and a scope (heard today) plus three returned fields (height, speed, climb), but it uses no verb and the phrase 'heard' is cryptic about whether this is live reception, a stored log, or an observation feed. It also fails to distinguish itself from the sibling cell_sensor_sondes_at, which an agent would naturally compare it against.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this tool versus alternatives, no prerequisites, and no mention of the obvious sibling cell_sensor_sondes_at (which presumably narrows to a time or location). The agent must infer the choice from name patterns alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so safety and external-data sourcing are covered. The description adds one genuinely useful behavioral fact — the data is scoped to "today" — but says nothing about the shape of the single opaque "input" argument, freshness/latency, or whether results are partial.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One front-loaded sentence with the resource first and the returned fields after the colon; nothing is padded or repeated. It is arguably too terse, but that is a completeness problem rather than a structure problem.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema, no annotation detail on returns, and one fully undocumented parameter mean the description has to carry the load and doesn't. An agent cannot construct a valid call from this text.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the single required parameter is literally an untyped `{}` named "input". With the schema contributing nothing, the description must explain what goes in that argument, and it does not — no hint about whether it is a place, a station id, a bounding box, or a time window.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

"Radiosondes heard today" names a specific resource and enumerates the payload fields (height, speed, climb), so the agent knows roughly what comes back. But it never distinguishes this tool from the sibling cell_sensor_sondes, and the meaning of the "_at" suffix (a snapshot at a point in time, presumably) is left to be inferred from the name alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no statement of when to use this versus cell_sensor_sondes or the many other cell_sensor_*_at siblings. The only implied usage cue is "today", which hints at a recency window but doesn't say what to do for other time ranges or which sibling covers them.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, openWorldHint and idempotentHint=false, so safety and world-access are covered structurally. The description adds only the geographic scope (Finland) and implied live freshness; it says nothing about latency, coverage gaps, or data source. Modest value on top of annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with the key qualifiers (Finland, temporal) up front and no filler. Nothing could be cut without losing content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter, output-schema-less sensor feed, the description supplies the essential scope (national train positions). The main omission is any statement of what the returned records contain or how this differs from the _at sibling.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters and the schema is empty, so there is nothing for the description to disambiguate. Baseline 4 applies for a parameterless tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Names the resource (trains running in Finland) and the temporal scope in a single phrase, so an agent knows it is a live/positional train feed. It does not differentiate itself from the sibling cell_sensor_trains_fi_at, and 'now, or at a past moment' actually overlaps with what an '_at' variant would presumably do.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use guidance and no reference to the near-identical sibling cell_sensor_trains_fi_at. The phrase 'or at a past moment' hints at temporal queries but leaves the choice between this tool and the _at variant entirely to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, openWorldHint=true and destructiveHint=false, so safety is covered. The description adds only geographic scope (Finland) and that historical lookups are possible; it says nothing about how a past moment is requested, data freshness, coverage limits, or what is returned per train.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short, front-loaded sentence with no filler. It is efficient, though the brevity is partly what leaves the sibling ambiguity and parameter meaning unresolved.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool whose only argument is an undocumented free-form 'input' and which has no output schema, the description omits the two things an agent most needs: the shape of 'input' and how this differs from cell_sensor_trains_fi. What is present is accurate but insufficient to call it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single required parameter is a bare, untyped 'input' object with 0% schema description coverage. The description's mention of "a past moment" hints the parameter may carry a timestamp, but it never states the expected type, format, or that this is how you time-travel – leaving an opaque blob the agent must guess at.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Names a concrete resource and scope ("every train running in Finland"), so the domain is clear. But "now, or at a past moment" blurs the boundary with the sibling cell_sensor_trains_fi, which presumably covers the live case, and the '_at' suffix's distinguishing meaning is never stated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use guidance and no mention of the near-identical sibling cell_sensor_trains_fi or cell_sensor_roads_fi_at/hsl_at style counterparts. The phrase "or at a past moment" gestures at historical queries but never says to pick this tool over the live one, or in what situation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is covered. The description adds nothing beyond that: no latency/freshness characteristics for a live-event feed, no coverage limits, no return shape, and no statement about why idempotentHint is false for a read. It reads as a restatement of the resource rather than added behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single compact sentence with no waste, which is good, but the brevity comes at the cost of disambiguation and it front-loads nothing actionable. The three-item list reads like a template of return types rather than a decision aid.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a geospatial live-data tool with one undocumented required parameter, no output schema and two overlapping siblings in the catalog, the description leaves the agent unable to determine mode selection, time-window meaning, or result format. It is too thin for the ambiguity this tool sits in.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and there is a single required parameter, 'days', whose meaning is never explained — presumably a look-back window, but the description does not state units semantics (rolling window vs calendar days), acceptable range, or defaults. With a low-coverage schema the description was obligated to compensate and does not mention the parameter at all.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the data domain (wildfires, burn perimeter, satellite hotspots), so an agent can tell it is a wildfire-data tool. But it is a bare noun phrase with no verb, and it does not say whether it returns all three at once or requires a mode, nor how it differs from the siblings cell_sensor_wildfire_hotspots and cell_sensor_wildfire_perimeter, whose names map almost exactly onto two of the three listed items.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance is given, and critically there is no direction about when to pick this tool versus cell_sensor_wildfire_hotspots or cell_sensor_wildfire_perimeter, which appear to be the narrow versions of the same data. The phrase 'near a point' and 'in a box' hint at spatial modes, but no instruction tells the agent how to select a mode or whether this tool supersedes the specialized siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, openWorldHint, idempotentHint=false, and destructiveHint=false, covering the safety profile. The description adds no behavioral context such as freshness/liveness of hotspots, geospatial query semantics, rate limits, or return behavior beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single compact sentence with no padding. It is front-loaded with the data types, though it is a noun-phrase fragment rather than a structured statement of action and usage.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a sensor tool with a completely opaque 'input' parameter, no output schema, and closely related sibling tools, the description is too thin. It leaves an agent unable to determine the actual input format, return shape, or when this tool should be selected over cell_sensor_wildfire or cell_sensor_wildfire_perimeter.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the single required parameter is an untyped 'input' object. The description hints that input may encode a point, box, or active wildfire query, but gives no syntax, shape, or examples to make the opaque parameter usable.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names specific data types (active wildfires, burn perimeter, satellite hotspots), so the resource is identifiable. However, it gives no verb and does not distinguish this tool from the sibling tools cell_sensor_wildfire and cell_sensor_wildfire_perimeter, which appear to overlap directly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It implies three query modes ('near a point', 'in a box') but never states when to use this tool instead of the related wildfire/perimeter siblings. There are no exclusions, prerequisites, or alternative routing guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already establish that this is a safe, read-only, open-world operation. The description adds useful context about the wildfire data types returned, but it does not explain query behavior, return format, or how the point/box modes behave.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single compact sentence with no filler. It is front-loaded with the data categories, though the lack of an action verb slightly weakens the structure.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an opaque input parameter, no output schema, and multiple closely related wildfire siblings, the description is not complete enough to tell an agent how to call the tool correctly. It needs at least basic input-shape or sibling-routing guidance.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single parameter is named only 'input' with no type, structure, or description, and schema coverage is 0%. The description hints at point-based and box-based queries, but it does not explain how to encode either mode, leaving the parameter effectively undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the wildfire data types covered, including active wildfires, burn perimeter near a point, and satellite hotspots in a box. However, it is a noun phrase without a clear verb and does not distinguish this tool from sibling tools such as cell_sensor_wildfire or cell_sensor_wildfire_hotspots.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description lists possible data categories but gives no guidance on when to use this tool versus the wildfire or hotspots siblings. It does not state prerequisites, exclusions, or alternative tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so safety is covered. The description adds one genuinely useful behavioral fact beyond that — visibility is conditioned on being signed in and is limited to own-device plus public cells — but the truncated sentence means the disclosure stops short of what the tool actually returns.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description terminates mid-sentence ("...the public cells of the"), leaving the primary scope clause unresolved. What text exists is front-loaded, but the truncation destroys the structure rather than merely being verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a four-parameter, zero-coverage search tool with no output schema, the description should carry the full burden of explaining what is matched, what is returned, and how paging works. Instead it delivers one incomplete scope sentence, leaving the discovery semantics undocumented.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across four parameters (q, cell, limit, offset) and the description supplies no meaning for any of them. An agent must guess whether q is a free-text query, whether cell scopes to a single cell id, and what the pagination units are.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the resource and its visibility scope ("cells you can reach: those on your own devices ... and the public cells"), but never supplies the verb — it never says this finds, lists, or searches anything. The sentence is also cut off mid-thought, so an agent cannot tell whether this is a search over cells or a capability listing, nor how it differs from the sibling my_cells.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use statement, no exclusion, and no pointer to an alternative such as my_cells, cell_call, or directory_search. The only implicit signal is the scope phrase "cells you can reach," which an agent must interpret on its own.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, destructiveHint=false, openWorldHint=true, so safety is covered, but the description adds no behavioral context beyond them: nothing about what is produced, what the unix instant is used for, or how timezone resolution failures behave. Notably idempotentHint=false is left unexplained for an operation that reads like a pure conversion.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is short and front-loaded, so nothing is wasted, but the brevity is under-specification rather than efficiency — a single fragment that omits the verb and the operating context.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With five undocumented parameters, a required boolean whose role is unclear, no output schema, and no annotation explanation of parameter behavior, the definition is far from complete enough to call the tool confidently. An agent would need to guess at input precedence between at, at_utc, tz and host_zone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across five parameters, so the description must carry the load and does not. It loosely gestures at at/at_utc/tz via "in UTC or in a time zone," but says nothing about the required own_host boolean or host_zone, leaving the agent to guess the interaction between the two time inputs and the host zone.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The text is a noun-phrase restatement of the tool name ("A date and time ... as the unix instant it names") with no verb and no statement of what the tool actually does. An agent cannot tell whether it constructs a time cell, converts a timestamp, or parses a date, nor how it differs from siblings like cell_geo_city or cell_tool_json_format.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no prerequisites, and no mention of any alternative tool. The phrase "in UTC or in a time zone" hints at two input modes but does not say when each should be chosen.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds one behavioral detail beyond annotations—that a similarity score is returned—but says nothing about output structure, what 'context' does, or the meaning of the name parameters. Note idempotentHint=false is questionable for a pure deterministic comparison, but the description does not contradict the annotations directly.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single tight sentence with the core action and options front-loaded, no filler. Efficient, though brevity comes at the cost of explaining the remaining parameters.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 6-required-parameter tool with no output schema and 0% schema coverage, the description is too thin—it never explains old_name/new_name (likely diff-side labels) or context (likely unified-diff context lines). An agent could call it but would be guessing on half the inputs.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% across 6 required params. The description only clarifies the 'by' parameter (line/word/char); 'old', 'new', 'old_name', 'new_name', and the integer 'context' remain undocumented in both schema and description. With such low coverage the description should compensate more than it does.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (compare) and resource (two texts), and adds the granularity options (line/word/character) plus the output (similarity score). It's clear what the tool does, though it doesn't distinguish itself from the other cell_tool_* utilities by naming alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit guidance on when to use this versus alternatives (e.g., cell_tool_regex or a plain text comparison), and no prerequisites or exclusions. Usage is only implied by the verb 'compare'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

While annotations confirm it's read-only, the description adds valuable context by specifying that explanations are sourced 'from man pages.' This informs the agent about the authoritative source of the knowledge and confirms it is a documentation tool rather than an execution environment.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise and efficiently communicates its core functionality in a single, well-structured sentence.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The definition is adequate for a simple utility, but because it lacks structured parameter details (0% coverage), the description should ideally explain the expected complexity of the input command (e.g., handling quotes or pipes) for complete usability.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, yet the description only advises the user to 'Paste a command.' It fails to provide guidance on command complexity, expected format, or potential edge cases, leaving the description unable to compensate for the lack of structured data.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states that the tool provides explanations for shell commands, including flags, pipes, and redirections. It is distinct from infrastructure/cell-related tools in the provided sibling list because its function is explanatory, not operational.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied: use this when a user needs an explanation of shell syntax or specific commands. However, it does not explicitly guide when to use it versus when to use general coding help or other shell utility tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds almost nothing behavioral beyond that: it does not state what happens with invalid JSON during Validate, what a Pointer query returns, how ToYaml/ToToml handle edge cases, or how indent affects non-pretty actions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The definition is a single front-loaded sentence with no filler, which is efficient. But it is a run-on list that ends in an ellipsis, making it feel incomplete rather than deliberately concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with three required parameters and no output schema, the description should explain the input format, action selection, indent behavior, and what each operation returns. It omits all of these, leaving an agent unable to call the tool correctly from the description alone, despite adequate annotation coverage for safety.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must carry parameter meaning, but it does not. It maps loosely to the action enum by listing operations, yet never explains that action selects one of them, that input is the JSON string, that Pointer requires an object form, or what indent controls. The unexplained required indent parameter is especially opaque.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses specific verbs (pretty-print, minify, validate, sort keys, query, convert) against a clearly named resource (JSON), making the tool's domain obvious. It distinguishes itself from siblings like cell_tool_regex or cell_tool_diff by being a JSON manipulation utility. However, the sentence is truncated with an ellipsis, leaving the final conversion target unstated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description lists operations but gives no guidance on when to choose this tool over alternatives, nor any prerequisites or exclusions. It does not explain how to select an action, when Validate is appropriate versus Pretty, or how Pointer queries differ from plain formatting.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds nothing beyond that: it does not explain the meaning of the Rust vs Fancy regex flavor, why idempotentHint is false for a read-only operation, or what the Explain output looks like — all behaviors not captured by structured fields.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short sentence with no filler, and the action enumeration is front-loaded. But it is a sentence fragment whose brevity comes from under-specification rather than economy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with five required parameters, a nested flags object, and a oneOf action union with no output schema and no parameter descriptions, the description is too thin. It omits the flag semantics, the flavor distinction, and how each action's result is shaped.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for five required parameters, so the description carries the full burden and largely fails. It loosely maps to the 'action' union (find/replace/split/explain) but never mentions 'flags' or the i/m/s/x booleans, and never explains the 'flavor' choice between Rust and Fancy, which materially changes regex semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description enumerates the four modes (match with groups, replace, split, explain), which lets an agent infer this is a regex utility, but it never states the verb+resource explicitly ('evaluate a regular expression against text'). Nothing distinguishes it from siblings like cell_tool_diff or cell_tool_json_format beyond the word 'pattern'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no guidance on choosing between the four actions, and no mention of alternatives among the ~40 cell_tool_* siblings. The agent must infer that this is the tool for text pattern work from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description adds valuable behavioral context: client-side encryption, a key carried in the link, and one-time consumption. However, 'the note is gone after it is read' describes a destructive delete on Open, while the annotations declare destructiveHint=false, creating a direct conflict for an agent relying on the annotation to understand opening consequences.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single compact sentence with no filler, but it is under-specified for the tool's two-action complexity and leads with an implementation detail ('Encrypted in your browser') rather than the operation. It is concise but not structured to help an agent choose the right action.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with Create and Open actions plus several required parameters, the description omits the create/open mechanics, TTL and views semantics, and any explanation of how consumption works. No output schema exists, so the description carries more burden than it meets.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the schema uses a oneOf action shape with Create requiring ciphertext, ttl_s, and views, and Open taking a string. The description does not explain these action variants or map any parameter; 'the link holds the key' is conceptual only and does not clarify ciphertext, TTL, or view-count semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description conveys that this is an encrypted, one-time secret note whose key travels in the link, but it never states the actual operations (Create/Open) or gives a clear verb+resource phrasing. It is distinguishable as a secret-note concept, but not sharply from sibling secret tools such as space_secret_get or space_secret_put.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus other secret-sharing or storage tools, and no explicit prerequisites beyond the implied browser-encryption model. The one-time-read behavior hints at a use case, but the description does not say when to choose Create versus Open or when to prefer an alternative.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare readOnlyHint=true and idempotentHint=false, so the safety profile is partly carried structurally. However, the description never discloses that the Add/Remove variants create and delete persistent monitors, that monitors can fire webhooks and run on interval_s schedules, or that interval_s/webhook/min_cert_days only matter in the scheduled case. 'Right now' implies Check is a one-shot read, but the presence of write actions under a readOnlyHint is a material disclosure gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler, which is good discipline. The brevity is under-specification rather than efficiency, though: the sentence earns its place but far more was needed given the schema complexity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with a deeply nested discriminated-union schema, zero parameter descriptions, and no output schema, one sentence is not enough. Missing are the action variants, what a Check returns versus a List, and how often a scheduled monitor fires.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must carry the load and it explains almost nothing. It hints at the three target types (Http/Tcp/Tls) but says nothing about the action discriminator, and nothing about keyword, expect_status, min_cert_days, interval_s, name, or webhook semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The verb+resource is specific for one code path: it says it checks a website, port, or TLS certificate, and 'right now' signals immediate one-shot evaluation. But the schema exposes four actions (Add, Remove, List, Check) and the description covers only Check, so an agent reading it would not learn that this tool also registers and deletes persistent uptime monitors.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this versus anything else, and no explanation of how the four mutually exclusive action variants relate (e.g. when to Add versus one-shot Check). The reader must reverse-engineer intent from a deeply nested oneOf schema.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The annotations provide excellent transparency regarding safety (readOnlyHint=true, destructiveHint=false). The description adds contextual clues about the data type ('satellite cloud image') and scope ('global'), preventing duplication of effort.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The definition is extremely concise and front-loaded, providing the maximum amount of information in a single, impactful sentence without any filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

While it explains the output data ('global satellite cloud image'), it is slightly incomplete because it does not explicitly state how the required 'unix' parameter should be interpreted in the context of finding the 'nearest moment.'

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description should elaborate on the purpose of the single `unix` parameter. While it mentions 'nearest a moment,' it fails to explicitly state that this timestamp controls the temporal specificity of the satellite image retrieved.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the function: retrieving a global satellite cloud image. It is specific to the cloud resource, allowing an agent to distinguish it from general weather or cell sensor data tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The definition offers no guidance on when to use this tool versus other potential weather or geospatial tools in the ecosystem.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so safety is covered structurally. The description adds genuinely new behavioral context beyond the annotations: the data is cached, the horizon is 48 hours, and the response includes the time the grid was produced. It does not, however, say how stale the cache may be or what format the coverage/timestamp report takes.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

One short sentence with no padding, and the key qualifiers (cached, 10 m wind/rain, 48 hours) come first. It is grammatically a fragment rather than a declarative statement of what the tool returns, which slightly hurts agent parsing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With zero parameters, no output schema and annotation coverage of the safety profile, the description covers the essentials. It still leaves the actual return shape unstated — whether 'coverage' means geographic bounds, variable list, or resolution — which an agent would need to know before relying on it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate; baseline is 4. The description's mention of a 48-hour horizon and cache timestamp clarifies the fixed scope, which is the only parameter-like information available.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies a specific resource — the cached 10 m wind and rain grid covering the next 48 hours — and states that it reports coverage and generation time rather than the data itself. The verb is implicit (a noun-clause fragment rather than 'Returns...'), and it does not distinguish itself from siblings like cell_weather_point or cell_weather_clouds, but an agent can still tell what the tool is for.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to call this versus the weather siblings (cell_weather_point, cell_weather_clouds), no statement of prerequisites, and no indication of what an agent should do with the result. Usage must be inferred entirely from the resource name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, destructiveHint=false, openWorldHint=true and idempotentHint=false, so the safety profile is covered. The description adds nothing beyond that: no data source, no forecast horizon limits, no rate limit, and no explanation of how 'past_hours' interacts with 'hours' – a real behavioral gap for a weather query.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single tight clause, front-loaded with the core capability and the returned variables. Nothing is padded, though the terseness contributes to the semantic gaps elsewhere.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a four-required-parameter, no-output-schema tool, the description should at minimum clarify the two time parameters (hours vs past_hours) and coordinate format. It does neither, leaving the caller to guess at the most consequential inputs.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across four required parameters. 'any point' loosely maps to lat/lon and 'hour by hour' loosely maps to hours, but past_hours – the parameter most likely to be misused (this tool unusually mixes past and future hours, hence idempotentHint=false) – is never explained, nor are units or bounds for hours.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

It conveys the resource (hourly weather readings at a coordinate) and lists the variables returned (temperature, rain, wind, cloud), but the verb is implicit and there is no explicit contrast with its close siblings cell_weather_grid and cell_weather_clouds. An agent can guess it's a point forecast but cannot be certain how it differs from the grid variant.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no mention of alternatives among the three weather siblings, and no prerequisite or cost information. The phrase 'for any point' is the only implied usage condition.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly=false, openWorld=true, idempotent=false, and destructive=false, so the safety profile is clear. The description adds useful behavioral context about ownership and members, plus "Needs key," but does not explain side effects, permission needs, or what key does.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded, but it is under-specified for a five-parameter creation tool rather than appropriately sized. "Needs key" is terse to the point of ambiguity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a create operation with five parameters, zero schema descriptions, and no output schema, the description leaves major gaps: required name, proof, private, and the key requirement conflict are unaddressed. It provides only partial context about ownership and named members.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for all five parameters, so the description must compensate and largely does not. It vaguely references key and members but omits name (required), proof, and private, and "Needs key" misleadingly suggests key is required when the schema marks only name required.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the resource and ownership model ("A channel for you and the members you name; you own it") but never states the creation action outright. With many sibling creation tools such as group_create, private_create, and space_create, it does not clarify how channel_create is distinct.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives no explicit when-to-use guidance, prerequisites, or alternatives. It implies creating an owned channel but does not direct the agent away from channel_join, channel_invite, group_create, or other similar tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true, idempotentHint=true and openWorldHint=true, so the safety profile is covered elsewhere. The description adds no behavioral context of its own — nothing about irreversibility of the removal, authorization required to remove a hook, or the no-op behavior on repeat calls that idempotency implies.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence with the destructive action front-loaded; nothing is wasted. It is arguably too terse rather than too long, but structurally it is clean.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a destructive, open-world mutation with two undocumented credential-like parameters and no output schema, one sentence is not enough. The agent has no way to know what 'key' and 'proof' require, what permissions are needed, or what result to expect after removing the hook.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across three parameters, so the description must compensate and largely does not. 'This channel' weakly implies that 'id' is a channel identifier, but 'key' and 'proof' — presumably credentials proving ownership of the hook — are left entirely unexplained in both schema and description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Stop') and resource ('webhook') scoped to 'this channel', which lets an agent identify it as the inverse of channel_hook_set without opening the schema. It stops short of naming that sibling explicitly, so differentiation is inferential rather than stated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.