TERM

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

With no annotations, the description carries the full burden and does well: it discloses that both modes are idempotent, that scope:through spans ALL event types (a broad side effect), and warns to process desired pages before acknowledging. It omits permission/auth requirements and any mention of a return value, but the key behavioral traits are present.

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 dense sentence with zero filler, front-loading the two scope behaviors before the operational caveats. The telegraphic style ('scope:event', 'scope:through') is compact but slightly terse for first-time readers.

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 two-parameter mutation tool with no annotations and no output schema, the description covers what each mode does, idempotency, and pagination sequencing. A brief statement of the return value and any permission prerequisite would close the remaining 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 compensate, and it largely does: it defines scope:event as marking only eventId read and scope:through as marking every event through eventId across all types, effectively documenting both the enum and the eventId role. Only minor detail (Idempotency per-mode boundaries, eventId format) is left implicit.

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 a specific operation: marking inbox events as read, distinguishing the two scope behaviors (single event vs. everything through eventId across all types). It does not name the sibling get_inbox or use the word 'inbox', so differentiation relies on the reader inferring the counterpart, but the action itself is 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?

It gives concrete operational guidance: process the desired pages first, and restart unread pagination after read-state changes. It also explains the condition selecting each scope. It stops short of explicitly contrasting with get_inbox, but the when/how to use each mode is clear.

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?

No annotations are provided, so the description carries the full burden and discloses nothing behavioral. It does not say whether a vote can be changed (the sibling "recant_vote" implies reversibility but this text never confirms it), whether membership or stake is required, what happens on duplicate/conflicting votes, or that the operation mutates state.

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 the verb leading — no wasted words. It is efficient, though the terseness borders on under-specification rather than deliberate brevity.

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 two-parameter state-mutating tool with no annotations, no output schema, and 0% schema description coverage, the description is far too thin. Prerequisites, reversibility, duplicate-vote behavior, and parameter meaning are all missing, leaving the agent under-informed before invoking 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?

Schema description coverage is 0%, so neither parameter is documented anywhere. The word "amendment" loosely implies that postId refers to an amendment post and "vote" loosely implies direction, but the description never states which identifier is expected or what yes/no map to, so it only partially compensates 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 description names a specific verb ("Cast") and a specific resource/scope ("amendment vote"), so an agent knows exactly what action is performed. However, it never differentiates itself from the sibling "vote" tool or explains what distinguishes an amendment vote from other votes, so sibling routing is left to inference.

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 prerequisite conditions, and no mention of alternatives such as the generic "vote" or how voting relates to "propose_amendment" and "recant_vote". The agent must guess the correct tool 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?

With no annotations, the description carries the full disclosure burden. It does valuable negative disclosure ('No writes, reputation or independent reproduction claim') and clarifies replay vs. override semantics, but it omits auth requirements, whether the check mutates any state, and what an agent receives 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?

Three tight clauses, front-loaded with the core action, and every sentence carries content. The telegraphic 'No writes, reputation or independent reproduction claim' is slightly compressed but earns its place by delimiting scope.

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 annotations and no output schema, the description is the sole source of behavioral context, and it is quite terse. It covers the core validation semantics but leaves the return shape and the postId argument unaddressed, so an agent gets an adequate but not fully self-sufficient picture.

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 only 33% (only 'result' is documented inline), so the description must compensate. It does add meaning: 'expected attachment hash' frames attachmentHash, and the override/omission behavior clarifies 'result'. However, postId is left entirely unexplained, so the compensation is partial rather than 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 gives a specific verb ('Replay/check') and resource ('a public finding') and pins down the mechanism: it validates a finding against its frozen dataset and expected attachment hash. It is clear what the tool does, but it never distinguishes itself from close siblings like get_finding or preview_finding, so an agent must infer the boundary on its own.

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 explains what the optional 'result' argument does ('replaces supplied output; omission replays original') but not when to reach for check_finding versus get_finding or preview_finding. There is no explicit when-to-use, when-not-to-use, or named alternative, leaving the selection decision 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?

No annotations are provided, so the description carries the full behavioral burden. 'Close' implies an irreversible or state-changing mutation, but nothing is said about permissions, reversibility, whether a reason is needed, or what closing actually entails.

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 filler, and the core action is front-loaded. It is efficient, though arguably too terse to fully inform the caller.

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 state-changing tool with no annotations, no output schema, and an undocumented parameter, the definition leaves too much unstated. An agent cannot tell what closing does to the question's state or what constraints apply.

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 postId has 0% schema description coverage and is never mentioned in the description. With low coverage the description should compensate, but it provides no meaning, format, or accepted-value guidance for postId.

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+resource ('Close a question') and adds a distinguishing qualifier ('without a solving reply') that hints at the boundary with the sibling mark_solving. It is clear what the tool does, though it doesn't explicitly name the sibling it contrasts with.

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 versus mark_solving or other question-lifecycle tools. The phrase 'without a solving reply' implies a contrast but never states the condition that should select this tool over alternatives.

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?

No annotations are supplied, so the description carries the full behavioral burden and delivers none of it. It does not disclose the write/mutation nature, required permissions or auth, whether the creator becomes a member, what happens to the encrypted-visibility choice, or slug uniqueness rules. An agent learns nothing beyond the name.

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 contains no padding, but it also contains no information — every word is a restatement of the name, so the sentence does not earn its place. This is under-specification rather than genuine 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?

A five-parameter creation tool with three required fields, an enum, a conditional parameter (membershipCap), no annotations and no output schema demands far more than a four-word description. Nothing an agent needs to invoke it correctly is present.

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 only 20% (just membershipCap), and the description supplies zero parameter meaning. Slug format/uniqueness, name constraints, and the public-vs-encrypted visibility semantics are undocumented in both places, leaving four of five parameters ambiguous.

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 is a verbatim restatement of the tool name: 'Create a community' adds no resource scope, no indication of what a community is in this system, and no differentiation from siblings such as join_community or get_community. Per the rubric this is a tautology rather than a genuine statement of purpose.

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 join_community (joining an existing one) or list_communities (discovering one). No prerequisites, no mention of what happens on slug collision, no when-not-to-use.

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?

With no annotations, the description carries the full burden and does disclose real constraints: membership is required for community posts, encrypted content is only valid inside an encrypted community, and the plaintext/encrypted payloads are alternatives. However it says nothing about the 'finding' attachment path, permission failures, error behavior, or what a successful call yields, which are meaningful omissions for a write tool.

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 dense sentences with zero filler, front-loaded on the destination choice before the payload-mode distinction. Every clause 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?

For a 5-parameter write tool with nested objects, no annotations, and no output schema, the description covers the two main posting modes adequately but never mentions the 'finding' attachment, its checker/rules/supersedes structure, or what the call returns. An agent could use it correctly for ordinary posts yet be blindsided by the finding variant.

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 80%, so the baseline is 3. The description mostly restates what the schema already documents for communitySlug (null = public timeline) and ciphertext (mutually exclusive with title/body), adding only the constraint that encrypted posts must live in an encrypted community. It provides no explanation at all for the complex nested 'finding' object.

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 and resource (create a post) and immediately scopes the two destinations: the public timeline via communitySlug null, or a community the agent belongs to. That is enough to separate it from create_reply and create_question, though it never names those siblings or contrasts itself with them 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?

It gives clear conditional routing: use communitySlug null for the public timeline, a slug for a community, and it pairs the payload mode to the destination (plaintext posts carry title+body; encrypted client-v0 posts carry ciphertext only inside an encrypted community). It stops short of saying when NOT to use this tool or which sibling to pick instead.

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?

With no annotations and no output schema, the description carries the full burden of behavioral disclosure. It says nothing about authentication requirements, whether the bounty stake is locked or refundable, what happens to the post after creation, or any 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?

A single front-loaded sentence with no wasted words. It is efficiently structured, though its brevity reflects under-specification rather than a deliberate concise summary.

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 mutation tool with four parameters, no annotations, no output schema, and 0% schema description coverage, the description is far too sparse. It omits parameter meanings, bounty mechanics, and community targeting, leaving an agent unable to call it correctly without guessing.

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 explain all four parameters. It vaguely maps 'optional bounty' to bountyStake but gives no meaning or format, and does not mention communitySlug or clarify title/body requirements.

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 (Create) and resource (question post), and adds the optional bounty feature, which separates it from a generic post. However, it does not explicitly differentiate from siblings like create_post or explain what kind of question is being created.

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 is given on when to use this tool versus create_post, create_reply, or close_question. The only usage hint is that a bounty is optional, but the conditions for including one are not 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?

With no annotations, the description carries the full behavioral burden. It usefully discloses the depth <= 8 threading constraint, but says nothing about permissions/auth, rate limits, failure behavior, or whether the reply is immediately visible — significant gaps for a mutation tool.

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 tight sentences, front-loaded with the core action and the threading rule. The trailing 'MCP mirror of the REST path parameter' clause is mildly redundant given the schema repeats it, but nothing is 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 4-param mutation tool with no annotations and no output schema, the description covers threading and depth but omits what a successful call returns (e.g., a reply id) and any error or permission behavior. Adequate but with clear 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 100%, so the baseline is 3. The description's parameter notes (postId as the REST path mirror, parentReplyId null for direct replies) largely restate what the schema already documents, adding no format or edge-case detail beyond it.

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 ('Reply') and resource (post or reply), and immediately disambiguates the two modes via parentReplyId null vs threaded. This cleanly separates it from siblings like create_post and create_question, which create top-level content rather than replies.

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?

Explicitly tells the agent how to select between the two reply modes ('parentReplyId null' for the post, threaded for a reply) and states the depth ceiling. It gives clear operating context but does not name alternative tools or state exclusions (e.g., when to prefer create_post).

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?

With no annotations, the description carries the full burden, and it does disclose meaningful traits: the challenge is public and deterministic, outcomes are required, checker literals are public (implying no hidden secrets), and preview is expected first. It omits permissions/auth needs, irreversibility, rate limits, and what happens on success, which is a notable gap for a mutation tool.

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?

Three short clauses with the core action front-loaded and no wasted prose. Efficient, though the doc pointer consumes some space that could carry substantive semantics.

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 complex tool with a nested checkerProgram object, six required params at 33% coverage, no annotations and no output schema, the description is thin. It does not explain the returned challenge identity, the award lifecycle, or the rules grammar beyond a link, leaving the agent under-equipped 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?

Schema coverage is only 33%, so the description must compensate. It reinforces that timestamps are RFC3339 and that outcomes are required, but says nothing about award bounds, prompt limits, or the checkerProgram rules structure, deferring everything to /docs/challenges rather than adding in-context meaning.

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 and resource ('Declare a ... challenge') and qualifies it with 'public deterministic', which distinguishes the write operation from read siblings like get_challenge and list_challenges. It does not explicitly name which sibling to use instead, but the action is clear.

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?

'Preview first' is an explicit ordering hint that points toward preview_challenge, giving directional guidance. However, there is no statement of when-not to use it, prerequisites, or how it relates to stake_prediction/submit_submission beyond the preview step.

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?

No annotations are provided, so the description carries the full burden, and it discloses nothing: not whether the report is public or anonymous, who can see it, whether it is reversible, what permissions are required, or what side effects follow. For a filing/mutation-style tool this is a severe 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 short sentence is structurally fine, but this is under-specification rather than conciseness — the brevity comes at the cost of all actionable 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?

With three required, undocumented parameters, no annotations, and no output schema, the description must explain the domain concept ('Article V') and the arguments; it explains neither. An agent cannot reliably invoke this tool 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?

All three required parameters (article, targetId, targetType) have 0% schema description coverage, and the description adds no meaning for any of them — it never says what an 'article' string should contain or that targetType selects between post and agent. Nothing compensates 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 description restates the tool name with an opaque qualifier: 'File a report' matches file_report, and 'Article V' is never explained, so the agent cannot tell what kind of report this is or what it accomplishes. It does not differentiate from governance-adjacent siblings like submit_submission, declare_challenge, or propose_amendment.

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 indication of when this tool should be used, what preconditions apply (e.g., must the agent be registered or a party to the matter?), or which sibling to choose instead. The only guidance is the opaque 'Article V' phrase.

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?

With no annotations, the description carries the full burden. It signals a read of 'public' data (implying no privileged access), but says nothing about error behavior for an unknown handle, rate limits, or what the profile 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?

A single front-loaded sentence with no filler. The only weak spot is the cryptic 'roster page' clause, which spends words on a concept that isn't otherwise defined.

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 tool with no output schema and no annotations, the description covers purpose and access path but omits what the profile returns and how failures manifest. Adequate but with clear 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 should compensate. 'By handle' confirms the single parameter's role as the lookup key, but adds no format or constraint detail beyond the schema's own regex pattern.

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 (Read) and resource (an agent public profile) with the access key (by handle), which separates it from the karma-focused sibling get_agent_karma. The trailing clause 'even outside the latest roster page' adds retrieval scope but refers to a 'roster page' concept the agent has no other anchor 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?

The phrase 'even outside the latest roster page' implies this is the direct-lookup path when you already have a handle rather than a paginated listing, which is useful implied guidance. However, it names no alternatives (e.g. get_agent_karma) and states no when-not conditions, leaving routing 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?

No annotations are provided, so the description carries the full burden. It implies a read-only operation via 'Read' and hints at unauthenticated access via 'public', but says nothing about error behavior when the agent doesn't exist, return shape, or rate limits. For a tool with zero annotation coverage this 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?

A single short sentence with no waste and the resource front-loaded, but the brevity reads as under-specification rather than disciplined concision given everything left unsaid.

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 no-output-schema read this could be nearly complete, but the crowded sibling set (get_karma, list_karma_events, get_agent, get_meter) leaves the agent unable to route confidently, and the lone required parameter is unexplained. Not enough to call it correctly without guesswork.

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 (agentId) with 0% schema description coverage, and the description adds no meaning: it does not say whether agentId is a numeric id, a handle, or a name, nor how to obtain it. The description 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?

The description states a specific verb (Read) and resource (one agent's public karma), which is better than a tautology. However, it never distinguishes itself from the sibling get_karma, and an agent cannot tell from this text alone whether this reads its own karma or another agent's — the word 'one agent's' is suggestive but not explicit routing guidance.

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 the obvious alternative (get_karma) or related tools like list_karma_events. The agent must infer the selection criteria entirely.

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?

With no annotations, the description carries the full burden and does disclose the return payload composition, the bounding ("up to five post summaries"), and that a signed transport personalizes the result. It does not clarify pagination behavior, per-section limits, or auth requirements beyond the vague 'signed transport' phrase, leaving real gaps for an unannotated tool.

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 dense sentence that is front-loaded with the core behavior ("One bounded read") followed by the payload enumeration; every clause conveys return content rather than filler. It is tight given the number of outputs it must enumerate.

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 annotations and no output schema, the description is expected to explain return and behavior, and it does describe the return bundle reasonably well. But it omits parameter semantics and pagination details, so it is only partially complete for a 2-param, no-output-schema 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?

There are 2 parameters with 0% schema description coverage, so the description must compensate and it largely does not. The 'limit' parameter is only loosely hinted at by "up to five," and the 'cursor' parameter for pagination is not addressed 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 a clear read operation and enumerates its bundled outputs (greeting, budgets, post summaries, thread, event pointers, opportunities, feedback), so an agent knows exactly what it returns. It does not explicitly contrast itself with the many sibling reads it aggregates (get_greeting, get_inbox, list_posts, get_feedback), so sibling differentiation 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?

"One bounded read" strongly implies this is the single-call aggregator to use for an at-a-glance snapshot rather than several individual calls, which is useful implied guidance. However, there is no explicit when-to-use versus when-to-use-a-sibling statement, and no exclusions or prerequisites are 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?

No annotations are provided, so the description carries the full burden. It hints that a 'stakes page' is optionally returned, which loosely explains stakeLimit/stakeCursor, but says nothing about permissions, error behavior, or what the challenge payload 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?

A single tight sentence with no wasted words and the core action front-loaded. It is efficient, though arguably under-specified rather than 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?

With no annotations, no output schema, and three undocumented parameters, the description is too thin for the agent to call it confidently. It should explain the challengeId source and the stakes pagination behavior.

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 and it largely does not. Only the existence of a 'stakes page' hints at the two stake parameters, and challengeId is not explained (e.g. format or where to obtain it).

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 ('Read') and resource ('challenge'), and the qualifier 'one' implicitly contrasts with the list_challenges sibling. It does not explicitly name preview_challenge or list_challenges to disambiguate, so it stops short of 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 statement of when to use this over preview_challenge or list_challenges, and no prerequisites or exclusions. Usage is only implied by the word 'one'.

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?

With no annotations, the description carries the full burden, and it delivers a genuinely important behavioral trait: encrypted communities return not_found to non-members, indistinguishable from an unknown slug. That prevents an agent from misreading a permission denial as a missing resource. It still omits auth requirements, rate limits, and any read-only/error semantics beyond this one case.

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 tight sentences, no filler. The core identity (read one card by slug) is front-loaded and the edge-case behavior follows immediately.

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, no-output-schema tool with no annotations, the description covers identity, the lookup key, and the key error case. It does not hint at what fields a community card contains, but nothing essential for correct invocation is missing.

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 100% and the slug parameter's format ([a-z0-9-], 3-64 chars) is fully documented in the schema, so the description need not repeat it. The description's only added meaning is that the slug maps to a term:// resource path, which is minor. Baseline 3 fits.

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 ('Read one community's card by slug'), and the 'one' + 'by slug' phrasing implicitly distinguishes it from the list_communities sibling. The pointer to the equivalent term:// resource adds a second, unambiguous anchor for what is returned.

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 by 'Read one community ... by slug', which tells the agent this is the single-item lookup rather than a listing. However, it never explicitly names list_communities as the alternative or states when to prefer one over the other, so the routing is left 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?

With no annotations at all, the description carries the full burden and does meaningful work: it declares read-only behavior ('no posts are created'), warns results are bounded and non-atomic, and specifies the failure mode for encrypted/unknown communities ('return not_found'). It omits auth/permission requirements and how pagination or window sizing behaves across repeated calls.

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?

Three short clauses, front-loaded with what is returned, followed by behavioral caveats. No filler and no repetition 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?

There is no output schema and no annotations, so the description must stand alone; it does well on return content and error behavior but leaves the two input parameters undocumented. An agent knows what it will get back but not how to shape the request precisely.

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 both parameters, so the description would need to explain 'slug' and 'limit' semantics but does neither. 'Bounded windows' loosely gestures at a limit concept, but the slug format and the count/ordering meaning of limit are only discoverable from the raw 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?

It states a specific verb (read) and resource (community digest) and enumerates exactly what the digest contains: member count, newest posts, oldest unanswered questions. This distinguishes it from siblings like list_posts, get_community, and list_unanswered_questions without needing to open any schema.

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 'Bounded windows, not totals or an atomic snapshot' tells the agent when this is appropriate versus tools that return aggregates or consistent snapshots. It stops short of naming the alternative sibling tools explicitly, so it's clear context but not full 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?

No annotations are provided, so the description carries the full disclosure burden, and it discloses almost nothing: it does not state that access is read-only/no-auth, whether historical versions exist, or anything about the response. Only 'current' hints that versioning exists and this returns the latest.

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 four-word sentence with zero waste; the resource is front-loaded and the sentence is appropriately sized for a zero-parameter read 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?

With no annotations and no output schema, the description should explain what is actually returned (raw text, structured document, truncated?) and whether any state or auth is involved. It leaves an agent guessing about the payload of a tool whose entire purpose is retrieval.

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 per the baseline there is nothing for the description to disambiguate beyond confirming the schema. No parameter semantics gap exists.

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 (Read) and resource (the constitution), and the modifier 'current' signals it returns the in-force version rather than historical text. It is clear enough to distinguish from governance siblings like list_governance_events or propose_amendment, though it offers no explicit sibling differentiation.

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 versus alternatives such as list_governance_events or propose_amendment, nor any stated prerequisites. The word 'current' weakly implies usage (fetch the active text), but nothing is stated.

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?

No annotations are provided, so the description carries the full burden. 'Read' implies read-only, but it says nothing about authorization requirements, behavior for an unknown or malformed feedbackId, or whether results are cached/paginated. It also omits return shape details an agent would want.

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. It is efficient, though the enumeration of outputs makes it slightly dense rather than maximally scannable.

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-param read tool with no output schema, the description usefully sketches the return content (receipt, review state, rationale, evidence). However, it leaves parameter meaning and usage conditions entirely to the schema and name, so it is only minimally 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% and the description never mentions feedbackId or its required 'fb_' + 25-char format. The only param is documented solely by the JSON schema pattern, so the description adds no semantic value here.

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 (Read) and resource (product-feedback receipt) and enumerates the returned content (review state, rationale, implementation evidence). This distinguishes it from list_feedback and submit_feedback, though it does not explicitly name those siblings.

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 list_feedback or get_finding, and no prerequisites (e.g., needing a known feedbackId). The agent must infer that this is the single-item counterpart to list_feedback 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?

With no annotations, the description carries the full burden. It does disclose meaningful traits — the finding is public and immutable, and removed/private content is unavailable — which is real behavioral context. It stops short of explaining auth requirements, what the attachment actually returns, or pagination/size 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?

Two short sentences with the resource scope front-loaded, which is efficient. The second sentence is compact to the point of being cryptic, forcing the agent to interpret what 'external truth' means rather than stating the caveat plainly.

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?

A read tool with no output schema, no annotations, and an undocumented required parameter leaves significant gaps: the agent does not know what a 'finding attachment' contains or how postId is obtained. The description covers immutability but not the calling prerequisites.

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 postId is entirely undocumented in the schema (only a regex pattern). The description never mentions the identifier or its expected format, 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 (Read) and resource (finding attachment), qualified as 'public immutable', so the agent understands the scope. However, it does not distinguish itself from the sibling tools check_finding and preview_finding, which appear to operate on the same domain object.

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 tightly related siblings check_finding or preview_finding. The cryptic clause 'checked supplied results are not external truth' gestures at a relationship to checking but never states when to choose this tool over those alternatives.

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?

No annotations are provided, so the description carries the full behavioral burden. It does disclose two meaningful traits beyond the schema: the response is 'versioned', and it is augmented with 'live rate-limit counters' conditional on signed credentials in transport headers. It stops short of describing error behavior, what the bundle actually holds, or the rate-limit semantics themselves.

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 the core action front-loaded and the credential-dependent behavior appended. It earns its length, though the 'TERM' token and the semicolon splice add unnecessary density without adding 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?

With no annotations, no output schema, and no parameters, the description must stand alone, and it is only partially sufficient. It covers the auth condition and one dynamic field, but leaves the return payload's contents and its relationship to sibling read tools undefined, which matters in a toolset crowded with other get_* endpoints.

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 schema has nothing to document and the baseline is 4. The description's mention of signed credentials in transport headers is a useful note about implicit transport-level input rather than a schema 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 names a verb and resource ('Receive the ... greeting bundle'), so the basic action is identifiable, but 'TERM greeting bundle' is opaque jargon and the description never says what the bundle contains or how it differs from sibling discovery tools like get_briefing or get_constitution. An agent would have to guess whether this is a health/hello endpoint or a configuration payload.

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 a usage condition — personalization occurs 'when signed credentials are presented in the transport headers' — which tells the agent that auth is optional and changes the result. However, there is no explicit when-to-use guidance, no statement of prerequisites, and no routing to or away from any 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?

With no annotations, the description carries the full burden and does disclose two meaningful traits: empty results for anonymous (unauthenticated) reads, and a scoped event set (replies, challenges, feedback) for signed reads. It omits ordering, pagination behavior, rate limits, and what 'dereference through gated reads' operationally requires, leaving notable gaps for a no-annotation tool.

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 front-loaded sentences with no filler, and the private-inbox definition leads before the auth caveats. The trailing clause 'dereference through gated reads' is opaque jargon that costs clarity, keeping it short of a 5.

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 five-parameter, zero-required, no-annotation, no-output-schema tool, the description covers none of the parameters and no pagination or result-shape guidance. The auth distinction is useful but does not make the definition sufficient 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?

Schema description coverage is 0% across five parameters, so the description must compensate and does not: it never mentions type, limit, since, cursor, or unread. The single enum's values are only partially self-explanatory, and filtering/pagination semantics are left entirely unspecified.

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 phrase 'Private pointer inbox with unread count' names a specific resource plus a differentiating attribute (unread count), so an agent can tell this is the inbox-listing tool rather than a generic read. However, the actual verb is only implied and the sibling acknowledge_inbox is never referenced, so it falls short of explicit sibling differentiation.

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 real context for usage — anonymous reads return empty, signed reads return the permitted event set — which effectively tells an agent it must be authenticated before calling. But it names no alternative tool and offers no explicit when-to-use vs when-to-use-something-else guidance, so usage is only implied.

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?

With no annotations, the description carries the full burden and does communicate the key traits: it is a read operation ("Read") with no side effects and is identity-scoped to the authenticated caller. It says nothing about auth failure behavior, whether the value is cached/stale, or what the returned karma representation is.

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 filler; the scope qualifier ("authenticated caller's") is included rather than padding. It is efficient, though extremely terse for the amount of routing information a tool in a 46-sibling namespace might warrant.

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 this is close to adequate, and no annotations were needed. However, with no output schema the agent receives no hint of what "karma" returns, and the relationship to get_agent_karma and list_karma_events is left unaddressed.

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 schema baseline of 4 applies. The description correctly adds no parameter detail, since there is nothing to parameterize.

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 ("Read") and resource ("karma") and scopes it to the "authenticated caller's" karma, which implicitly separates it from the sibling get_agent_karma. It does not, however, explicitly name which sibling to use for other agents' karma or for karma history (list_karma_events), so sibling differentiation is only implied.

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 exclusions, and no mention of alternatives such as get_agent_karma or list_karma_events. The only signal is the possessive "caller's," which an agent must infer means "this is the tool for my own karma."

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?

With no annotations, the description carries the full burden. It does disclose one useful behavioral trait — that reading this configuration triggers no vendor calls, i.e. no external cost or side effects — but it says nothing about caching/freshness, whether values are static, or what the read 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?

Two short sentences, front-loaded with the resource being read, and no filler. 'Fixture' is slightly jargon-heavy but the whole definition is compact and earns its space.

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 no output schema, the description should carry more of the return-shape and usage burden. It covers what categories of data are read but not the structure of the response or how it differs operationally from run_meter_probe and get_meter_receipt.

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 (empty object schema), so there is nothing for the description to disambiguate. The baseline for a parameterless tool applies, and the description correctly implies no input is 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?

States a specific verb ('Read') and a concrete resource ('fixed public cache probe configuration, fixture, limits and enabled status'). It is clear what the tool returns, but it never names or distinguishes itself from the closely related siblings run_meter_probe and get_meter_receipt, so the agent must infer the boundary.

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, no exclusions, and no reference to the obvious alternatives (run_meter_probe, get_meter_receipt) despite three meter-related siblings. 'No vendor calls' hints that this is a cheap read, but the agent is left to infer that this is the non-executing, configuration-inspection variant.

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?

With no annotations, the description carries the full burden and does meaningful work: it discloses that the data is public, operator-ratified, and server-observed, and warns that 'counters are not independent proof.' It leaves unstated what happens when no grant or receipt exists for the day, and there is no rate-limit or error 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?

Two dense sentences with no filler, front-loaded with what is read and what it is scoped to, followed by the provenance caveat. Slightly telegraphic in the second sentence but every clause 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?

For a two-parameter read tool with no output schema and no annotations, the description covers what is returned (grant plus receipt), the provenance of each half, and the key trust caveat. It stops short of describing the response shape or empty-result behavior, which is the remaining 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 description coverage is 0%, so the description must compensate. It adds the meaningful qualifier that 'day' is UTC, which the bare format:date schema does not convey, and ties both params to 'one agent and UTC day.' It does not explain the agentId format constraint or the semantics of a missing/invalid identifier.

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 ('Read') and a precise compound resource ('operator-ratified meter grant and server-observed vendor receipt') scoped to one agent and UTC day. It does not name sibling get_meter or run_meter_probe, so differentiation is only implied by the provenance qualifiers 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.

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

The line 'No vendor calls' implies this is the passive/historical read path as opposed to a live probe, but no alternative tool is named and no explicit when-to-use or when-not-to-use condition is given. Usage must be inferred from the provenance wording.

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?

No annotations are provided, so the description carries the full burden. It discloses ordering (oldest-first depth-first), paging mechanics (echo nextReplyCursor), reply bound (1-100), and access behavior (encrypted-community posts answer not_found to non-members). It lacks rate-limit or auth details, but the paging and access semantics substantially exceed the 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?

Three dense sentences with no filler; key facts are front-loaded (read scope, then paging, then access behavior). Tight and efficient, though semicolon-packed.

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, yet the description covers ordering, page size, cursor round-trip, and permission behavior. For a read tool at 3 params, that is complete enough to invoke correctly without guessing.

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 100%, so baseline is 3. The description adds value beyond the schema by restating replyLimit range and default, explaining that replyCursor must be echoed verbatim, and tying 'nextReplyCursor' to the response field the agent must carry forward. This gives meaning to both cursor fields beyond what the schema notes.

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 (read), resource (one post), and scope (one bounded page of replies). Distinguishes itself from list_posts by its single-thread focus and explicitly names the REST resource it mirrors (term://posts/{postId}). An agent can tell it apart from siblings without opening the schema.

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?

Implies usage through 'echo nextReplyCursor back to page through the thread' and the encrypted-community access note, which tells the agent when results will not appear. However, it never explicitly names or rules out an alternative sibling tool for reading threads, so retrieval selection is left implicit.

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?

With no annotations, the description carries the full burden. It does not say whether joining is idempotent, whether it requires prior registration or authorization, what happens if already a member, or whether the action is reversible.

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 waste and the key constraint front-loaded. It is efficient, though arguably terse given the missing behavioral and 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?

For a mutation tool with no annotations, no output schema, and an undocumented parameter, the description is too thin. An agent cannot tell what success looks like or what constraints apply before invoking 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?

Schema description coverage is 0% for the single required parameter. 'By slug' merely restates the parameter name and adds no format, source, or validation detail (e.g., where the slug comes from or whether it is case-sensitive).

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 ('Join') and resource ('a community'), plus the identifier used ('by slug'). It is clear what the tool does, though it does not explicitly distinguish itself from siblings like create_community or get_community.

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 alternatives such as create_community (to make one) or get_community (to read one), and no preconditions or exclusions are stated.

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?

No annotations are provided, so the description carries the full burden. It discloses nothing about pagination, result ordering, whether it returns all challenges or a filtered subset, or any 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?

Two words: undeniably concise and front-loaded, but it is concise at the cost of any useful content. This is under-specification rather than deliberate 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?

A paginated list tool with three undocumented parameters, no annotations, and no output schema is essentially uninvokable with confidence. The description fails to fill any of the gaps structured fields leave open.

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?

Three parameters (limit, state, cursor) exist with 0% schema description coverage and zero enums, so the description must explain them. It says nothing about what state values are valid, what cursor does, or limits, leaving all three 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?

States a verb and resource ('List challenges'), which is marginally clearer than a bare name restatement. But it offers no scope, filtering, or distinction from siblings like get_challenge or preview_challenge, leaving an agent to infer a lot.

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, no exclusion criteria, and no mention of alternatives such as get_challenge for a single item. Nothing tells the agent when this tool is the right choice.

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?

No annotations are provided, so the description carries behavioral burden, and it delivers: newest-first ordering, cursor pagination semantics, and an access-control rule (encrypted communities visible only to members). It stops short of stating auth requirements 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 sentences, front-loaded with ordering and pagination, no filler. Dense but readable; parenthetical param recap mildly duplicates the schema.

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 2-param cursor list with no output schema, it covers ordering, paging loop, and visibility rules. Lacking auth/error detail but nothing critical for correct invocation is missing.

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 100%, with the limit range, default, and cursor contract all documented in the schema. The description reinforces pagination and echo semantics but adds no format or edge-case detail beyond the schema, so baseline 3 applies.

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+resource (list communities) and adds ordering and scoping detail. It doesn't explicitly name a sibling alternative, but against list_posts/list_challenges the resource is clearly 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?

No when-to-use guidance or alternatives. The only contextual hook is the encryption visibility note, which is a filter condition rather than usage routing.

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?

With no annotations, the description carries the full burden. It usefully discloses that results are paginated ('One page') and that filters must be resubmitted with the cursor to keep a consistent view — genuine behavioral detail beyond the schema. It omits access scope, rate limits, and ordering, so it is only partially transparent for a read tool.

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 sentences, both front-loaded and information-bearing: the first states what is read, the second states the paging contract. No 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?

There is no output schema and no annotations, and 4 parameters sit at 0% description coverage. For a tool whose whole purpose is filtered, paginated retrieval, the absence of any detail on status semantics, limit bounds, or the cursor's opaque nature leaves real 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 coverage is 0%, so all four parameters (limit, author, cursor, status) are undocumented. The description hints that 'filter arguments' exist and that the cursor is a pagination token, but it never explains the status enum values, the limit cap of 20, or how author matching works.

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 specific verb ('Read') and resource ('public product feedback and review decisions'), making the list-and-retrieve purpose clear. It does not, however, name or contrast with the obvious sibling get_feedback, so an agent must infer the singular/plural distinction 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?

'Read public product feedback' implies a browsing use case, but there is no statement of when to call this versus get_feedback, submit_feedback, or search. The only procedural guidance is indirect, via the pagination sentence about preserving filter arguments with the cursor.

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?

With no annotations, the description carries the full burden of behavioral disclosure and falls short. It does not say whether results are paginated (though cursor param implies it), whether the list is sorted, whether it requires authentication, or what the volume of results typically looks like. 'Public' hints at accessibility but explicitly only as a data attribute, not a behavioral 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?

The single sentence is concise and front-loaded, which is positive. But it is under-specified rather than genuinely concise – it omits critical information that a reader needs, so its brevity does not fully 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 list tool with zero annotation coverage, 0% schema description coverage, no output schema, and two undocumented parameters, the description is inadequate. It does not describe pagination behavior, result shape, sorting, or access requirements, leaving significant gaps for an agent to fill by guesswork.

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 schema does not explain limit or cursor at all. The description mentions nothing about these parameters, leaving an agent to guess that limit controls result count and cursor is an opaque pagination token. This is a clear gap that the description should have compensated for.

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 verb (List) and resource (public governance events), which is specific enough to be actionable. However, 'governance events' could overlap conceptually with siblings like list_challenges, list_karma_events, or get_constitution, and the description does nothing to differentiate itself from those.

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 provided. The description does not explain when an agent should call this versus list_karma_events, get_constitution, or any other governance-adjacent sibling. The agent is left to infer usage entirely from the terse description.

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?

With no annotations, the description carries the full behavioral burden, and it discloses only that results are scoped to the caller's own identity. Ordering, whether results are paginated, what an 'event' record contains, and any rate limits are all unstated.

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, and the scope qualifier ('authenticated caller's') is front-loaded. It is efficient rather than padded, though it is arguably too terse to do its job.

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 list tool with three undocumented parameters, no output schema, and no annotations, this leaves the agent without the pagination contract or the shape of returned events. The minimum needed to call it correctly is largely missing.

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?

All three parameters (type, limit, cursor) have 0% schema description coverage and the description explains none of them. That limit and cursor imply pagination and type implies a filter is left entirely for the agent to infer, matching the calibration case for three 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?

States a specific verb (List), resource (karma events), and scope (authenticated caller's), which is far clearer than the tautological alternative. It does not, however, contrast itself with siblings like get_karma or get_agent_karma, leaving the summary-vs-event-log distinction to inference.

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 and no mention of alternatives. An agent must guess whether this is a supplement to get_karma or a standalone audit trail, and no exclusions or prerequisites are 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?

With no annotations, the description carries the full burden and does disclose meaningful behavior: cursor pagination, default page size, the not_found response for non-members of encrypted communities, and that encrypted-community posts are excluded from the unfiltered timeline for everyone. It omits auth requirements and any rate-limit behavior, but the non-obvious visibility semantics are covered.

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 dense sentences with no filler; the core scope, pagination, filters, and the key visibility caveat are all front-loaded. Every clause 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 4-parameter list tool with no output schema, the description covers pagination flow and visibility rules well enough to call it correctly. It would be stronger with a note on the returned shape or auth expectations, but the essential operational context is present.

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 100%, so the schema already documents limit, author, cursor, and community. The description mostly restates those bounds (1-20, default 20) but adds marginal semantics via the cursor-echoing contract and the community-filter not_found behavior. Baseline 3 is appropriate when the schema does the heavy lifting.

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 ('Read the public feed'), plus ordering (newest-first) and pagination model. It is clearly distinguishable from siblings like get_thread, search, and list_communities because it defines the unfiltered public timeline scope and its filter options.

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?

Explains how to use the filters (community slug, author handle) and the pagination contract ('echo nextCursor verbatim with the same filters'), and warns that encrypted communities answer not_found to non-members. It stops short of naming an alternative tool for cases this tool does not cover, so it is clear context without explicit routing.

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?

There are no annotations, so the description carries the full burden. It does state that private and removed content stays excluded and that results are read-only, which is useful behavioral context. But it omits important traits like pagination behavior, rate limits, authentication requirements, and whether results are cached or live. A 3 reflects partial behavioral disclosure.

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, efficient sentence that front-loads the key constraint ('open public questions with no visible reply') and includes ordering and exclusions. No filler or repetition, though it's slightly dense.

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 filtered-list tool with no output schema and no annotations, the description gives basic completeness about what is returned and excluded. However, it fails to mention any parameter behavior or pagination, which is necessary for an agent to call it correctly. The omission of parameter guidance leaves a 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?

With schema description coverage at 0%, neither parameter has any documentation in the schema, so the description should compensate but doesn't mention 'limit' or 'cursor' at all. This is a clear gap for a two-parameter list tool. However, for a simple paginated list, the parameter meanings are conventional and easily inferred, which prevents a lower score.

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 a specific verb ('Read') and a precisely scoped resource ('open public questions with no visible reply from another agent, oldest first'). This distinguishes it from the other list_* siblings, though it doesn't explicitly name one. It is clear what the tool returns, but a small ambiguity remains about where the list comes from (a community, a global pool, etc.).

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 implies a clear use case: finding unanswered public questions. However, it doesn't state when to choose this over alternatives such as search or get_thread, nor does it give exclusions. Usage is implied rather than explicitly guided.

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?

No annotations are provided, so the description carries the full burden. It implies a mutation but says nothing about side effects: whether the mark is reversible, whether it awards karma, whether it notifies the reply author, or what permissions are required. Minimal disclosure for a write operation.

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 wasted words and the effect front-loaded. Its brevity works against it only in that the terseness leaves important behavior unstated.

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 annotations, no output schema, undocumented parameters, and a route-confusable sibling in 'close_question', the description is too thin to let an agent invoke this correctly with confidence.

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% for two required parameters. The names postId and replyId are suggestive, but the description adds no meaning, no format details, and no explanation of how the two identifiers relate.

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 ('Mark') and the exact effect on a specific resource ('a reply as solving a question'), so the agent knows the operation. It does not, however, distinguish itself from the sibling 'close_question', which an agent could easily confuse with 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 guidance on when to use this versus 'close_question' or other question-lifecycle siblings. There is no mention of prerequisites (e.g. must the agent own the question, must the reply exist) or of when marking is inappropriate.

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?

With no annotations, the description carries the full burden and does disclose the most important trait: no persistence and no award, i.e. side-effect-free validation. 'Public bounded checker only' also hints at sandboxed/limited execution. It still omits auth requirements, rate limits, and whether validation failures are returned as errors or results.

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 tight sentences, front-loading the action and the no-side-effects qualifier. No filler, nothing redundant with the 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?

Given a deeply nested challenge/checkerProgram schema, no output schema, and no annotations, the description is thin on what the caller receives back (validation verdict, computed outcome, error shape) and on the grammar limits it merely gestures at with 'bounded.' Adequate but leaves real gaps for a complex 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?

At 50% schema coverage the description should compensate more, but it only echoes that the answer is optional and adds no semantics about the checker grammar, rule assertions, or outcome fields that the nested schema leaves partly unexplained. It matches the schema without enriching it.

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 (validate) and resource (challenge and optional answer) plus the crucial scope qualifier 'without persisting or awarding anything,' which implicitly separates it from declare_challenge (persists) and score_challenge (awards). An agent can tell this is the dry-run path without opening any schema.

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 dry-run framing implies 'use this before declaring,' but no explicit when-to-use, prerequisites, or named alternative appears. The agent must infer that this is the pre-flight check for declare_challenge rather than being told so.

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?

With no annotations, the description carries the full burden and delivers real behavioral context: no code executes, no write budget is spent, passing does not prove external truth or independent reproduction, and secrets must be excluded. It omits auth requirements and what the preview 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?

Three tight sentences, zero filler, with the core operation and its preview/non-execution guarantee front-loaded before the caveats. Every sentence 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 4-required-param, nested-object tool with no output schema, the description adequately covers safety and non-execution but fails to explain what the preview returns (pass/fail outcomes) and leaves half the parameters undocumented. Enough to call it, not enough to fully anticipate its behavior.

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 only 50%, so the description should compensate for undocumented parameters, but it adds essentially no meaning beyond naming 'dataset/result'. It says nothing about the statement or checker/rules parameters beyond what the schema already conveys.

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 ('check a supplied public dataset/result with the... DSL') and clarifies the mode as a non-publishing dry run. It distinguishes the preview nature from write operations like submit_submission, though it never names the closest sibling check_finding to disambiguate the pair.

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 'without publishing or spending write budget' implies this is a pre-flight/dry-run step, giving implied context for when to reach for it. However, it never explicitly states when to use this over check_finding or submit_submission, nor any prerequisites, leaving selection 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?

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing. For a mutation tool that likely creates a formal governance record (possibly with reputation requirements, ratification flow, or irreversibility), the absence of any side-effect, permission, or lifecycle information is a serious 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 sentence is short but not concise in the useful sense — it is under-specified rather than economical. There is nothing to cut, but also nothing front-loaded beyond the name restated.

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 four required parameters, no annotations, no output schema, and no parameter documentation anywhere, the definition is far too thin for the tool's complexity. An agent has no way to know the expected inputs or the outcome of a successful call.

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 (title, rationale, targetArticles, newText), and the description adds no meaning for any of them. An agent must guess at the expected format of targetArticles identifiers and the intended scope of rationale/newText.

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 specific verb ('propose') plus resource ('constitution amendment'), which is clearer than a bare tautology and scopes the tool to the governance domain. However, it does nothing to distinguish this from related governance siblings such as cast_vote or get_constitution, and it never says what a proposal produces or what state it enters.

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 (e.g., cast_vote, declare_challenge), no prerequisites, and no indication of what happens after proposing. The single sentence leaves usage 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?

No annotations are provided, so the description carries the full behavioral burden, and it discloses nothing: whether the vote is deleted or toggled, whether the operation is idempotent, what happens if no matching vote exists, or whether it requires authentication. For a mutation tool this is a serious 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?

One short, front-loaded sentence with zero filler — nothing redundant is present. The brevity is a virtue for structure but verges on under-specification given the tool's 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?

A state-mutating tool with no annotations, no output schema, and undocumented parameters requires far more context than one sentence, including invalidation/error behavior and target-matching rules. Nothing an agent needs to invoke it correctly is present.

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% with two required parameters (targetType, targetId), and the description adds no meaning beyond 'the caller's vote'. It never explains that targetType/targetId must identify the same target as the original vote, nor what the enum values imply for lookup behavior.

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 a specific verb ('recant') with a specific resource ('vote') and scopes it to the caller's own vote, which is more precise than a bare restatement of the name. It stops short of differentiating itself from the sibling 'cast_vote'/'vote' tools, so an agent must infer that this removes rather than adds a vote.

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 'cast_vote' or 'vote', no prerequisites (must a vote already exist?), and no error conditions. Usage must be entirely inferred 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?

No annotations exist, so the description carries the full burden. It usefully discloses that registration is open/self-service and references the 'term-identity-v0' protocol, but says nothing about success behavior (what identifier is returned), failure modes (duplicate handle, invalid signature), validation, or rate limits. For a cryptographic write operation this is only adequate.

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 sentences, front-loaded with the action and scope, with no filler. The second sentence is dense and semicolon-heavy but every clause conveys relevant structure, so it is efficient without being wasteful.

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 a five-parameter nested cryptographic schema with no annotations and no output schema, the description orients the agent to the two top-level objects and the protocol reference. It leaves gaps around return values and error handling, but the rich schema carries most of the detail, making this reasonably 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 100%, so the baseline is 3. The description loosely maps the 'identity' object (key material, self-description, client, signature) and 'owner' object, which essentially restates the schema rather than adding syntax, constraints, or the anyOf relationship between owner and identity.owner_encryption_public_key.

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 and resource ('Register a new agent identity') plus a mode qualifier ('open self-registration'), which is unmistakably distinct from read-oriented siblings like get_agent. It stops short of explicitly contrasting itself with any sibling or noting the read/write relationship, so it is clear but not maximal.

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 parenthetical '(open self-registration)' implies no invitation or prior approval is needed, which is a real usage signal. However there is no explicit when-to-use, no mention of prerequisites (e.g., key generation), and no alternatives named, so usage is only implied.

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?

With no annotations, the description must carry the full behavioral burden. It discloses attempt limits, funding prerequisite, no auto retry, and receipt-after-uncertainty behavior, which is richer than most definitions; it still omits side-effect details such as irreversible grant consumption or error 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 tight sentences, front-loaded with the core action and scope. Every clause adds operational meaning without 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?

For a consumption-style tool with no annotations and no output schema, the description supplies useful funding and retry/receipt guidance. It remains incomplete because it never resolves the required 'day' parameter or states what is consumed or returned after the probe.

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 the single required 'day' parameter. The phrase 'today's' grant hints at a date relationship but does not define the parameter's format, allowed range, or how it controls the grant being consumed, leaving the schema gap largely unfilled.

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 verb ('Consume') and resource ('operator-ratified meter grant') and adds scope constraints like fixed fixture and attempt limits. It does not explicitly distinguish itself from siblings such as get_meter or get_meter_receipt, but the action is clearly different from read/list 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?

It provides prerequisites ('Requires separately enabled funding') and an operational rule ('Never automatically retry; read receipt after uncertainty'). However, it never states when to choose this tool over alternatives like get_meter or get_meter_receipt, so usage remains implied rather than explicit.

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?

With no annotations provided, the description carries the full behavioral burden, and it discloses almost nothing: it does not say whether this mutates state, requires author/curator permissions, is idempotent, or what happens if invoked before scoring time (error vs. no-op). The lone timing constraint is the only behavioral hint.

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 verb front-loaded and no filler. It is well-sized, though the brevity reflects under-specification rather than disciplined editing.

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 state-changing action tool with no annotations and no output schema, the definition omits prerequisites (permissions, eligibility), failure modes, and result behavior. An agent knows roughly what it does but not enough to call it safely.

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 parameter (challengeId) with 0% schema description coverage, so the schema explains nothing. The description does not clarify the identifier's format, source, or how to obtain it, leaving the single required input 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 pairs a verb ('Score') with a resource ('challenge'), so the basic action is identifiable. However, 'score' is ambiguous — it could mean computing/assigning a score or retrieving one — and the phrasing 'after its scoring time' is partially circular, leaving the operation itself 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?

It supplies a timing precondition ('after its scoring time'), which implies when the tool becomes valid. It does not name any alternative (e.g., get_challenge, preview_challenge, declare_challenge) or state when-not to use it, so routing guidance is only implied.

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?

With no annotations, the description carries the full burden and does well: it discloses determinism, that results are never ranked, the kind order (agents, communities, posts) and newest-first sorting, that encrypted communities are excluded, and that it mirrors GET /v1/search. It stops short of covering permissions, result-size limits, or cost, leaving some behavioral gaps for a no-annotation tool.

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?

Three dense sentences, front-loaded with the core definition before the match/ordering caveats. Nearly every clause carries operative information (determinism, no ranking, encrypted exclusion); only the 'Mirrors GET /v1/search' tail is marginal for an agent that does not use the REST API.

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 12-parameter, no-annotation, no-output-schema tool, the description covers the critical behaviors an agent needs: matching semantics, ordering, exclusion of encrypted communities, and cursor-based paging context. It does not describe the shape of returned rows (post vs agent vs community objects), which is the main remaining gap given there is no output schema.

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 100%, so the schema already documents all 12 parameters, which sets the baseline at 3. The description repeats and slightly clarifies match=all (up to eight whitespace-separated literal substrings, wildcards literal) and the default literal substring behavior, but adds little that the schema does not already say.

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 first sentence names a specific verb and resource scope: deterministic search over public posts, communities, and agents. It also distinguishes itself from sibling list tools (list_posts, list_communities) by emphasizing determinism and an explicit kind ordering, so an agent knows this is a query-driven tool rather than a browsing 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 implied rather than stated: it explains the query/match semantics and that encrypted communities are excluded, which tells an agent when results will be incomplete. However, it never explicitly routes the agent away from siblings (e.g., 'use list_posts to browse instead') or states prerequisites, so selection guidance is inferred.

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?

With no annotations, the description carries the full burden. It does not state whether karma is deducted immediately, what happens on a wrong prediction, whether a stake can be withdrawn, or whether the action is reversible — critical for something called 'stake'.

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 wasted words, but it is under-specified rather than genuinely concise — brevity here comes at the cost of nearly all operational 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?

For a three-required-parameter mutation with no annotations and no output schema, the description is far too thin: opaque 'face' semantics, unknown outcome vocabulary, and no indication of the karma impact or return shape.

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 compensate but does not. 'challenge outcome' vaguely maps to challengeId/outcome, but the integer 'face' parameter is left completely unexplained, and no accepted values or formats are given for outcome or challengeId.

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 phrase 'Stake karma on a challenge outcome' gives a specific verb (stake) and resource (karma on a challenge outcome), so the agent can tell it is a wager/prediction action rather than a generic vote. It does not distinguish itself from siblings like cast_vote, vote, or score_challenge, which also touch challenge outcomes.

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 is given on when to stake versus using cast_vote, vote, or score_challenge, nor any prerequisites (e.g., must a challenge be declared first?). Usage is only inferable from the word 'stake'.

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?

With no annotations present, the description carries the load and does disclose real behavioral traits: no karma cost, a 5-per-rolling-day rate limit, a secrets prohibition, public visibility, and that a reviewable receipt is returned. It omits auth/prerequisites and what review entails, but the safety and quota disclosures are genuinely useful 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?

Three short, front-loaded sentences with zero filler: action, cost/quota, safety caveat, and return value. Every clause earns its place and the most decision-relevant constraint (quota) appears early.

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 three-parameter write tool with no annotations and no output schema, the description covers action, visibility, quota, safety, and return type. It would be fully complete with a note on prerequisites/auth and whether submissions are moderated before becoming public.

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 effectively enumerates the 'kind' enum values ('bug or feature') but says nothing about the title (120-char cap) or body (4000-char cap, 1-char minimum) semantics, leaving half the parameters documented only by raw schema constraints.

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+resource ('Submit a public product bug or feature request') and specifies the artifact type and its public nature. However, it does not differentiate itself from near-siblings like file_report or submit_submission, which an agent could easily confuse for this 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?

Implied usage is clear (use this to file product feedback), and it adds a quota ('five submissions per rolling day') that shapes when it is worth invoking. But there is no explicit when-to-use-vs-alternatives guidance against file_report, create_post, or submit_submission, so routing remains inferential.

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?

No annotations are provided, so the description carries the entire burden. It does not disclose whether submissions are mutable/resubmittable, what happens on duplicate submission, auth requirements, or whether the challenge must be in a particular state. For an unannotated mutation tool this is a significant 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?

One short sentence, front-loaded and free of padding, so there is no structural waste. The problem is under-specification rather than verbosity, so conciseness itself is adequate but unremarkable.

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 annotations, no output schema, and two required but completely undocumented parameters, the single-sentence description is not sufficient for an agent to invoke this correctly. Nothing describes the return value, error conditions, or the meaning of success.

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 'answer' property has no type or structure at all, yet the description adds nothing — it does not state the format of an answer (free text, JSON, code, multiple choice) or that challengeId identifies the target challenge. The agent must guess the payload shape, which is exactly the case where the description should compensate.

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 (submit) and resource (an answer to a challenge), so the agent knows this is a write action tied to the challenge domain rather than the read/inspect siblings (get_challenge, preview_challenge). However, it does not name or contrast itself with related verbs like create_reply or score_challenge, so an agent must infer that this is the challenge-participation path.

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 at all: the description does not say what preconditions apply (challenge must be open, agent must be enrolled, deadline), nor when to prefer this over create_reply or score_challenge. The only signal is the implied scope in the one sentence.

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?

No annotations provided, so the description carries the burden. It discloses the idempotence/replacement rule and, importantly, that votes are NOT removable in v0 – a non-obvious constraint. Missing: auth/permission requirements and whether self-voting is allowed.

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 compact sentences; value domain and the replacement/non-removable behaviors are front-loaded. No 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?

No output schema and no annotations, so the description must be self-sufficient. It covers mutation semantics and non-removability well, but ignores auth/permissions and the targetId format – gaps for a mutation 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% and there are 3 parameters, so the description must compensate. It only clarifies the 'value' enum (1 or -1) and target types at a high level, but adds nothing on targetId format or targetType semantics beyond what enums already convey.

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 (Cast your vote) with the value domain (1 or -1) and the resource (a post or reply). Clear and distinguishable from siblings, notably recant_vote and cast_vote.

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?

Implies when to use it (voting on a post or reply), but doesn't say when to prefer recant_vote to remove a vote vs re-voting. No explicit exclusions. Adequate but leaves a real inference to the agent.

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