Thread Otter

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

It discloses the rate limit ('Limited to 5 scans per day') and explains the classification heuristic ('complaint-shaped language with the threads as receipts'), giving insight into how results are produced. No annotations exist, so this is valuable.

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 sentences deliver the core purpose, methodology, and limit with 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?

The description covers the scan's temporal scope, classification approach, and rate limit; it lacks explicit output format details, but the mention of 'threads as receipts' suggests the result includes thread references.

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 only parameter 'competitor' is fully described in the schema; the description adds no further semantic detail about the parameter.

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

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

The description clearly states it is a 'live scan' of 'this month's Reddit threads' where people 'complain', 'ask for alternatives', or 'evaluate' a named product, which distinguishes it from sibling tools like find_buyer_threads or demand_radar.

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 clear context that this tool is for surfacing complaints and alternative-seeking discussions about competitors, but it does not explicitly contrast with sibling tools or state when not to use it.

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

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

With no annotations, the description carries the full burden. It discloses the output type (comparison, top themes, thread receipts) and optional param behavior, but does not mention side effects, authentication, rate limits, or data freshness. Adequate but not deep.

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 pack the core purpose, category list, and usage instructions without redundancy. Front-loaded and efficient.

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

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

For a tool with one optional parameter and no output schema, the description covers purpose, usage, and output summary sufficiently. Lacks edge-case handling or exact response format, but is largely 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?

The schema already documents the parameter and valid values (100% coverage). The description adds meaning by explaining how the parameter changes the output (comparison vs. detail), which goes beyond the schema.

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

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

The description clearly states the tool performs a 'weekly comparison of buyer demand on Reddit' and enumerates the specific categories. It distinguishes itself from sibling tools by emphasizing the aggregated, weekly overview nature.

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?

Provides explicit call patterns ('Call with no arguments for the comparison, or pass a category key for its detail'), but does not name alternative tools or exclusion criteria. Context is clear, so it earns a 4 rather than 3.

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 thoroughly. It discloses the workflow (crawl, buyer identification, Reddit mining), the deliverable (report link), the timing (~2-3 minutes), and the rate limit (2 runs/day). This is exceptional behavioral transparency for a tool with no annotation metadata.

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 three sentences, each adding essential information: the process, the result access via get_demo_report, and the rate limit. There is no filler or repetition, and the most important action (submit URL, get threads) is front-loaded.

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

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

For a tool with 2 parameters and no output schema, the description fully explains the workflow, the return value (report link), and the expected timing. It also mentions the daily limit and points to get_demo_report for retrieval, making it self-sufficient for an agent to invoke and follow up.

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 descriptive parameter texts for both website_url and email. The description adds minimal extra semantic value beyond what the schema already provides, such as 'give it a product website URL.' This matches the baseline expected when the schema fully documents parameters.

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

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

The description clearly states that the tool takes a product website URL, crawls the site, identifies buyer personas, and mines Reddit threads for buyer questions. This specific verb+resource+outcome distinguishes it from siblings like get_demo_report (which retrieves results) and reddit_demand_board (which likely shows broader demand).

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 provides clear context: use this when you have a product URL and want a free GTM demo of buyer conversations. It also explicitly mentions the 2-run daily limit and the companion tool get_demo_report for retrieving results, but it doesn't explicitly state when not to use this tool versus 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?

With no annotations provided, the description carries the full burden. The verb 'Fetch' clearly implies a read-only operation, and the description further discloses what the output will contain (top matched threads, relevance scores, report link). It does not mention auth, rate limits, or error handling, but for a simple retrieval tool, the behavioral profile is reasonably transparent. The description adds value by explaining the return value structure.

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, well-structured sentence that front-loads the verb 'Fetch' and concisely conveys the tool's purpose and output. Every word earns its place, and there is no redundancy or filler. It is appropriately sized for the tool's simplicity.

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

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

The description is complete for a simple retrieval tool: it explains the input (slug from find_buyer_threads) and the output (top threads with scores, plus link to full report). It does not elaborate on error cases or pagination, but given the tool's low complexity and lack of output schema, the description covers the essential context. It could be improved by mentioning what happens if the slug is invalid, but this is not a significant 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?

The input schema fully describes the only parameter 'slug' as 'The run slug returned by find_buyer_threads.' The description repeats this by saying 'a find_buyer_threads run' but does not add any additional semantic details beyond what the schema already provides. With 100% schema coverage, the description does not need to compensate, so a baseline score of 3 is appropriate.

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 the specific verb 'Fetch' and identifies the resource as 'the results of a find_buyer_threads run', clearly stating what the tool does and distinguishing it from siblings like find_buyer_threads (which creates the run) and other unrelated tools. It also specifies the output content (top matched threads, relevance scores, link to full report), leaving no ambiguity about the tool's 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 the tool should be used after running find_buyer_threads by referring to 'a find_buyer_threads run' and expecting a run slug. This provides clear context for when to use the tool. However, it does not explicitly mention when not to use it or name alternatives, though the sibling list makes the relationship obvious. This is a clear context without exclusions, meriting a 4.

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 burden of behavioral disclosure. It states the tool works without authentication and describes its informational content, which implies a read-only, non-destructive nature. However, it does not specify the return format or whether it simply displays text, leaving some ambiguity.

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

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

The description is a single, compact sentence that front-loads the core purpose and packs the key topics into a colon-separated list. Every word earns its place, and the addition of the authentication note is valuable without bloat.

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 no-parameter, no-output-schema tool, the description provides sufficient context: what it does, what topics it covers, and its authentication requirement. It falls slightly short of perfect because it doesn't explicitly say what the output looks like, but the informational nature is strongly implied.

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

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

The tool has zero parameters, so the schema already fully covers this aspect. The baseline of 4 applies because there is no parameter information needed in the description.

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

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

The description clearly identifies this as a guide for connecting Thread Otter, explaining server purpose, free tools, trial signup, and API key setup. It is distinct from the data-retrieval sibling tools, though it lacks an explicit imperative verb like 'shows' or 'returns'.

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 'Works without authentication' gives a contextual hint that this tool can be used without credentials, but there is no explicit when-to-use guidance or mention of alternatives. Usage context is implied by the name and content, but not directly 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?

With no annotations, the description discloses it's free, weekly, and includes real thread links, which gives some behavioral context. However, it doesn't mention output format, pagination, auth, or any side effects, leaving gaps.

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 with high information density, front-loading the core purpose and usage. No fluff.

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

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

The description covers the tool's output content, update frequency, and calling patterns (with/without arguments). Since there's no output schema, it conveys return value adequately, though it could enumerate the 40 subreddits for extra clarity. Overall sufficient for a simple read tool.

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

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

The schema already fully documents the 'community' parameter with examples. The description's 'pass a community for its full breakdown' adds no new semantic value beyond the schema, so baseline 3 is appropriate.

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

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

The description clearly identifies the tool as a weekly demand board across specified subreddits, listing content types (recurring pains, missing tools, paying demand) and thread links. It differentiates from siblings by emphasizing cross-community aggregation and optional per-community breakdown.

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?

Explicit instructions: 'Call with no arguments for the cross-community leaderboard, or pass a community for its full breakdown' provides clear when-to-use context. No alternatives are mentioned, so not a full 5.

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 discloses that this is a free lookup from Thread Otter's community vetting data, noting the 2,000+ profiled subreddits and implying limited coverage. It doesn't detail error handling for missing subreddits or rate limits, but 'free lookup' conveys read-only behavior.

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

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

The description is a single, well-structured sentence that front-loads the core purpose ('Free lookup of a subreddit's promotion posture') and includes valuable details about the data source and output content without any filler.

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

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

For a simple one-parameter lookup, the description covers the essential context: what it does, the data source, coverage scope, and the type of information returned. It lacks explicit fallback behavior for unavailable subreddits, but given the simplicity, it is largely 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?

The input schema already provides a clear description and example for the 'subreddit' parameter. The tool description adds no additional parameter details, but since schema coverage is 100%, the baseline of 3 is appropriate.

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

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

The description clearly states the tool does a 'free lookup' of a subreddit's 'promotion posture', specifying the exact data returned (self-promo policy, link policy, how to write for the room). This distinct function is well separated from sibling tools like find_buyer_threads or reddit_demand_board.

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 makes it clear the tool is for looking up subreddit promotion rules before posting. It provides a clear context but does not explicitly mention alternatives or when not to use it, so it falls short of a 5.

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