LinkPulse

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. It adds valuable details: caching for 10 minutes, wayback fallback for dead pages, and the inclusion of a content hash and readability score. It does not mention error behaviors, rate limits, or authentication, but the disclosures given are substantive and useful.

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

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

The description is a single sentence that front-loads the core purpose and packs a detailed list of return components plus caching behavior without redundancy. Every element earns its place, making it highly efficient and easy to parse.

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

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

Given the moderate complexity (5 parameters, no output schema), the description is surprisingly complete: it lists the output fields, notes caching, and mentions the wayback fallback. It lacks parameter guidance and edge-case details, but the provided information covers the main behaviors needed for an agent to invoke the tool reasonably. The lack of an output schema is mitigated by listing return components.

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 has 5 parameters with only 20% description coverage (only include_body_sample has a description). The tool description does not explain any parameters, including max_bytes, timeout_ms, or force_fresh. Since schema coverage is low, the description should compensate but does not, leaving the agent to infer meaning from parameter names alone.

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 a specific action ('Fetch a URL') and enumerates the exact outputs returned (HTTP status, final URL, SHA-256 hash, classification, readability, title/meta, wayback fallback). This distinguishes it from siblings like linkpulse_classify, linkpulse_diff, and linkpulse_resolve by describing a comprehensive 'current state' check rather than a narrower operation.

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 usage context: use this when you need a comprehensive snapshot of a URL's current state. However, it does not explicitly state when to prefer linkpulse_check over siblings like linkpulse_classify or linkpulse_resolve, nor does it mention any exclusions or alternatives. The 'current state' wording gives some guidance but lacks direct contrast.

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 burden of behavioral disclosure. It does disclose the key trait that the tool makes no outbound fetch, which is critical for a classification tool. However, it does not describe the output format, potential side effects, or any error behavior, leaving notable 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?

The description is two sentences long and every word earns its place. The first sentence states the action and inputs; the second provides the usage context. No redundant or filler 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?

There is no output schema, so the description should explain what the tool returns, but it does not. It adequately covers the input semantics and when-to-use guidance, but lacks information about the classification result, success/failure behavior, or edge cases. For a relatively simple tool this is a moderate 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 clarify the parameters. It does so by naming all three parameters as 'status code + content-type + body sample', which maps directly to the schema properties. This adds meaningful semantics beyond the bare type definitions, though it does not provide format examples or 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?

The description uses the specific verb 'Classify' with a clear resource: content the agent already has. It explicitly lists the inputs (status code, content-type, body sample) and distinguishes itself from sibling tools by stating 'without an outbound fetch', making its scope 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?

The description provides a clear when-to-use scenario: when the agent has already fetched the URL via another tool. It implies an exclusion—do not use if an outbound fetch is needed—but does not explicitly name sibling alternatives or contrast with them beyond the fetch distinction.

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. It discloses the core action (re-checking the URL) and the return value, but does not mention error handling, side effects, or whether it makes a network request. It lacks details about invalid hashes or unreachable URLs.

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

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

The description is a single sentence, front-loaded with the action, and contains no unnecessary words. It perfectly balances brevity with essential 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 simple two-parameter tool with no output schema, the description covers the core functionality and return type. However, it omits potential error cases and does not clarify the hash algorithm, leaving some context out.

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 only ties 'previous_hash' to a 'content hash' without specifying format, algorithm, or how to obtain it. The url parameter is self-explanatory from the schema, but the hash parameter lacks necessary detail.

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 specifically states the tool re-checks a URL and compares its current content hash to a supplied previous hash, returning a boolean and new hash. This clearly distinguishes it from sibling tools like linkpulse_check, linkpulse_classify, and linkpulse_resolve.

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 usage when you have a previous hash and want to detect changes, but it does not explicitly state when to use this tool over siblings or when not to use it. No alternatives or exclusions are mentioned.

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

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

With no annotations provided, the description carries the full transparency burden. It discloses a key behavioral trait: it does not download the full body, and it states exactly what it returns. This is sufficient for a simple read-only tool, though it omits edge-case behaviors like handling redirect loops or invalid URLs.

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

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

The description is a single, concise sentence that fully communicates the tool's function and output without redundancy. Every word adds value, and it is well-structured.

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 simple parameter and no output schema, the description is complete: it explains the action, the constraint (no body download), and the return value. It provides sufficient context for an agent 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 for explaining parameters. It only mentions 'URL' generically, adding no detail beyond the schema's 'url' property with format 'uri'. For the single parameter, the schema already defines it, but the description should clarify expectations (e.g., absolute URL, redirect behavior), which it does not.

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 verb 'resolve' and the resource 'redirect chain for a URL', and specifies the output ('final URL + redirect count'). It effectively distinguishes this from sibling tools like 'check', 'classify', and 'diff' by focusing specifically on redirect resolution.

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 is used to follow and resolve redirects without downloading the body, which gives clear context. It does not explicitly mention when not to use it or alternatives, but the purpose is clear enough to guide appropriate use.

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