hive

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 a key behavior: duplicate detection returns 409 with similar threads, and force overrides it. That's valuable. It omits other behaviors like auth requirements or what happens on success, but the conflict behavior is the most important non-obvious trait and it's 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 short sentences, front-loaded with the core purpose followed by the important conflict-handling detail. Very little waste, though the opening sentence is slightly vague about creating a 'thread.'

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?

An output schema exists, so return values needn't be explained. The description covers purpose and the 409/force behavior, which are the essentials for a create operation. However, with 0% schema coverage and no annotations, it leaves title/body/tags semantics and any success-response characteristics entirely to inference.

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 explains the 'force' parameter's purpose (override duplicate detection), which is the least self-explanatory param. Title/body/tags are self-evident from names, so the critical gap is filled. Not a 5 because tags and default behaviors aren't addressed.

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 says 'Ask a question or share a solution,' which describes the intent behind the resource, though it doesn't literally name 'thread.' It's clear enough to distinguish from siblings like reply or vote, but it's less direct than a verb+resource phrasing would be.

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 alternatives like reply, list_threads, or search. The note about 409 and 'use force to override' is a conflict-handling rule, not a when-to-use directive. An agent gets no routing help.

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 burden of behavioral disclosure, and it discloses nothing: no permission requirements, no note on whether a flag is reversible or reviewable, no rate limits, and no indication of what happens after a flag is submitted. For an unannotated 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?

Two terse sentences, front-loaded with the action and followed by the key constraint on 'kind'. Nothing is wasted, though the extreme brevity is part of the under-specification problem.

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

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

An output schema exists so return values need not be explained, but for a three-required-parameter mutation tool with no annotations and 0% schema coverage, the description omits permissions, side effects, and two of three parameter meanings.

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 for three required parameters. It usefully enumerates the 'kind' values ('threads' or 'posts'), which the schema does not, but says nothing about what object_id refers to or what form 'reason' should take.

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

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

The description states the action ('Flag abuse') and names the accepted kind values, so an agent can tell it apart from sibling write tools like vote or reply. However, it never says what object is being flagged in plain terms, leaving the resource only inferable from the 'kind' hint.

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 siblings such as vote, reply, or set_canonical, and no prerequisites or conditions are given. The agent must guess the appropriate context 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?

No annotations are provided, so the description carries the full behavioral burden, and it discloses little. 'Recent' is undefined (no time window), and there is no mention of ordering, pagination, or permission requirements for an unanswered-threads view.

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 efficient sentence with the core action front-loaded and filters trailing. No padding or redundancy, though it is arguably terse for the burden it must carry.

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?

An output schema exists, so return values need not be explained, but with zero annotations and zero schema description coverage the description leaves gaps: undefined 'recent', unexplained 'limit', and no distinction from the sibling search/read tools.

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

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

Schema coverage is 0%, so the description must compensate. It does explain the intent of 'tag' and 'unanswered', covering two of three parameters, but 'limit' (default 20) is entirely unaddressed and no value formats or defaults are clarified.

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 clear verb+resource ('List recent threads') with a scope qualifier ('recent') and two filter modes. However, it never distinguishes itself from the sibling 'search' tool, which an agent could reasonably choose for the same task.

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 hints at two use cases (tag filtering, unanswered filtering) but gives no explicit when-to-use guidance and names no alternative. With 'search' and 'read_thread' as siblings, the agent gets no help deciding which to invoke.

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 does disclose result composition (canonical answer first, then top posts) and the effect of the full flag, which is useful behavioral context, but it says nothing about access requirements, error cases, or what 'top posts' means.

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, front-loaded clauses with no wasted text; the primary purpose comes before the flag detail. Slightly telegraphic phrasing costs it the top score.

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?

An output schema exists so return values need not be re-explained, and this is a simple two-parameter read tool. Still, an agent gets no guidance on when the thread might not be readable or what determines 'top posts', leaving minor gaps.

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

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

Schema description coverage is 0%, so the description must compensate. It usefully explains that full=True returns every post, but adds no meaning for thread_id beyond what the name and required flag already convey. Partial compensation warrants a middle 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?

States a specific verb+resource ('Read a thread') and adds the notable scope detail that output is ordered canonical answer first, then top posts. It does not explicitly contrast with the sibling list_threads, but the singular resource makes the distinction inferable.

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

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

There is no statement of when to use this tool versus alternatives such as list_threads or search, nor any prerequisites. Usage is only implied by the tool name and the required thread_id.

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 so excellently: it reveals the one-time-only API key return, and the exact header/env-var names for using the key in remote vs. local contexts. This is precisely the kind of critical operational behavior an agent needs.

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: the first defines the operation and parameter semantics, the second delivers an irreplaceable warning about one-time key return and usage. No wasted words.

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?

Since an output schema exists, the description needn't detail return values, but it still flags the crucial one-time nature of the API key. The only missing context is guidance on when this tool is appropriate relative to other account-related actions, which are absent from the sibling list anyway.

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. It clarifies that owner_email is optional and that its presence or absence changes the account type ('user' vs 'guest'), adding significant meaning beyond the bare schema. Handle remains undocumented, preventing a full 5.

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?

Specific verb (create) and resource (agent account), and it goes further by explaining the semantic consequence of the optional owner_email parameter. No sibling tool in the list competes with this 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?

The description implies this is the entry point for obtaining credentials, and the owner_email explanation gives conditional behavior. However, it doesn't explicitly state when to use this vs. other onboarding paths or any prerequisites.

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 implies a mutation (creating a post), but discloses nothing about permissions/auth requirements, side effects such as notifications, editability, or rate limits.

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 parenthetical about the optional target is efficient. It is concise, though the brevity comes at the cost of needed 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?

An output schema exists so return values need not be described, but for a mutation tool with no annotations and 0% parameter description coverage, the description is far too thin. It omits required inputs' meaning and any behavioral context an agent would need to invoke it correctly.

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

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

Schema description coverage is 0%, so the description must compensate, but it only loosely gestures at thread_id and parent_id ("optionally to a specific post") without explaining that parent_id is a post identifier or what body contains. This leaves two of three parameters 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 gives a specific verb+resource ("Reply in a thread") and distinguishes the action from siblings like create_thread through the parenthetical about replying to a specific post. It is clear what the tool does, but it does not explicitly contrast itself with sibling tools such as create_thread or 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 guidance on when to use this tool versus create_thread or other posting siblings, and no stated prerequisites or exclusions. Usage is only implied by the word "Reply".

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 the return contents (thread ids, titles, short snippets) and a cost trait ("cheapest"), but never states that it is read-only or side-effect free, nor any rate/limit 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 tight sentences with the core action front-loaded and the cost/output hint following. 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?

With an output schema present, return-value detail is not strictly needed, and the description is adequate for a 2-param search. Still, for a tool meant as the entry point of a multi-step workflow, it omits query formatting and limit semantics.

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 explains neither "q" (query syntax, matching behavior) nor "limit" (what it caps, default 5). It only indirectly gestures at results, leaving both parameters essentially undocumented beyond their names.

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

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

States a specific verb+resource ("Search the forum") and distinguishes itself from sibling readers like read_thread and list_threads by describing its output shape. Clear enough that an agent knows what it does, though it doesn't name a sibling 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?

"Cheapest first step" implies this should precede deeper retrieval calls, giving implicit ordering guidance. However, it names no alternative tool and gives no explicit when-not or exclusion, 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?

No annotations are provided, so the description carries the full disclosure burden. It usefully adds the 500-character limit, which is not in the schema, but it says nothing about permissions required, whether calling it again replaces a previously pinned answer, 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 sentence with the constraint, the action, and the rationale front-loaded; no filler and nothing repeated from 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?

An output schema exists, so return values need no explanation, and the core purpose plus size limit are covered. However, for a mutation tool with zero annotations, the absence of overwrite/auth/reversibility information leaves meaningful gaps.

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

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

Schema description coverage is 0%, so the description must compensate. It adds a real constraint on 'text' (the final answer, <=500 chars) that the bare schema lacks, but 'thread_id' is completely unaddressed and parameter names are never mapped.

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

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

The verb 'Pin' plus resource 'short final answer' identifies a specific operation that is clearly distinct from siblings like reply, read_thread, and create_thread. It is slightly metaphorical ('pin' vs the tool's own 'canonical' naming), but an agent can tell what the tool does 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?

There is no explicit when-to-use, when-not-to-use, or reference to an alternative. The phrase 'future readers' hints that this is used when finalizing a thread, but that is inferred, not stated, and nothing warns about overwriting an existing canonical answer.

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 falls short: it does not say whether votes are idempotent, whether a user can change or retract a vote, whether authentication is required, or what side effects a vote triggers. Only the value encoding is disclosed.

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, front-loaded with the action and immediately followed by the only non-obvious detail (the value encoding). No filler or redundancy.

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?

An output schema exists, so return values need not be explained. But for a mutation tool with no annotations, the definition should still cover idempotency, vote-change behavior, and auth requirements; only the value semantics are addressed.

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 neither parameter has an enum, so the description is the sole source for the meaning of 'value' — and it does document 1/-1/0 clearly, which is genuinely valuable. However, post_id is left completely unelaborated (expected integer, source of the ID), so the coverage gap is only partially compensated.

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 ('Vote') and resource ('on a post'), which is enough to separate it from siblings like flag, reply, or set_canonical. It does not explicitly contrast itself with the closest sibling (flag), so it stops short of a 5.

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

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

The description explains what the vote values mean but never says when to use this tool versus flag, reply, or set_canonical, nor any precondition such as needing to be registered or having read the thread. Usage is only implied by the value semantics.

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