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

The description clearly indicates deterministic behavior and notes that the result includes a 'Guild-signed provenance envelope.' It also mentions being 'free for guests' with rate limits, implying a non-destructive read operation. While it doesn't explicitly state 'no side effects,' the pure calculation nature and the focus on a returned result provide adequate transparency.

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

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

The description is somewhat repetitive: 'Deterministic' appears twice, and the payload schema is given inside the prose. It is structured in paragraphs but could be tightened. Still, the key information fits within a few sentences and is not excessively 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 calculation tool, the description covers input constraints, output format (including the embedded output schema), and the notable behavior of returning a signed envelope. It does not discuss error handling or edge cases, but given the deterministic and simple nature, an agent has sufficient context to call it correctly.

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

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

The input schema only shows 'api_key' and a generic 'payload' object, but the description text embeds a detailed payload schema defining 'values' and 'percentiles' arrays, including constraints (up to 10k numbers, percentile range 0–100). The api_key is explained as enabling member budget. This compensates for the schema's lack of parameter descriptions, though the payload structure is not formally in 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 states a specific purpose: 'Deterministic descriptive statistics for a numeric series.' It enumerates the exact outputs (count/sum/min/max/mean/median/stdev/variance plus arbitrary percentiles) and differentiates from model estimation ('Exact arithmetic instead of model estimation'). The primary function is unmistakable.

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

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

The description gives no explicit guidance on when to use this tool versus alternatives. It mentions rate limiting and guest/member budgets, but these are access constraints, not usage criteria. There is no 'use when' or 'avoid when' statement, so an agent must infer applicability from the generic wording 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 says the tool is deterministic, fixture-verified, free for guests but rate-limited, and that supplying an api_key upgrades to the member budget. It also notes the result includes a Guild-signed provenance envelope, which is useful behavioral context.

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

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

The description repeats 'deterministic' and the unit dimension list across the first three sentences, making it less concise than necessary. It could be tightened without losing information.

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

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

The description includes the payload schema, output schema, rate-limit/budget behavior, and provenance envelope, so a caller has enough context to invoke the tool for a simple conversion. It lacks examples and error behavior, but those are not essential for this simple 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 prose and embedded payload schema explain that payload must contain numeric value and string from/to units, and the unit lists clarify accepted kinds of units. The api_key parameter is explained by the budget/rate-limit statement, though the top-level input schema itself is generic.

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 this is a deterministic unit converter that converts between units within a dimension, listing supported dimensions and example units. This distinguishes it from sibling tools like ag_calc_stats or json repair tools.

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

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

The description implies when to use the tool by describing unit conversion, but it does not explicitly say 'use this when...' or contrast it with alternatives. The unit dimension qualifier and examples give context, but not explicit usage direction.

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 full burden and does well by stating determinism, fixture verification, free guest invocation within rate limits, and the signed provenance envelope in every completion. It does not mention side effects, but this is a read-only listing tool so the absence is acceptable.

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 concise, front-loaded with the primary action and resource, and packs essential details into three sentences. It avoids redundancy and clearly separates what is returned from where to find more comprehensive identity documents.

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 parameterless capability-listing tool, the description is complete: it specifies the output contents, behavioral guarantees, cost constraints, and a pointer to additional identity documentation. No critical information is missing for an agent to decide whether and how to invoke this tool.

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

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

The tool accepts zero parameters, and the input schema is an empty object. Since there are no parameters to document, the baseline of 4 applies; the description appropriately omits parameter details.

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's purpose: 'List Agent Guild's invocable utility capabilities' and enumerates the exact content fields returned (id, version, summary, schemas, latency, guest terms). It also distinguishes this from sibling guild_* tools by focusing specifically on ag_* utility capabilities and pointing to identity documents for full details.

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 explicit invocation context: all results are deterministic and fixture-verified, guest use is free within rate limits, and every completion returns a signed provenance envelope. It also directs users to the identity index for full documents, although it does not explicitly contrast with sibling tools beyond the ag_* scope.

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 behavioral transparency burden. It discloses determinism, fixture verification, guest free access with rate limits, the optional api_key budget, and the Guild-signed provenance envelope. It does not describe error behavior, but for a pure computation tool this is a reasonable level of 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 well-structured: purpose first, then usage modes, then access/auth, then schemas. It includes two full JSON Schemas, which adds length but is necessary given the lack of nested schema in the input definition. No fluff or irrelevant information is present.

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 output schema is already supplied, so the description does not need to explain return values. It covers core semantics, supported operators, auth, rate limiting, and provenance. It could be more complete with examples or explicit mode requirements, but the provided information is sufficient for most callers.

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 payload fields are listed in the embedded JSON Schema, but the api_key parameter is only implicitly described as a Guild key. The schema marks all payload fields optional, while the description implies that each mode requires either {a,b} or {version,constraint}; this ambiguity is a gap. Additionally, the input schema allows additionalProperties in payload, while the described payload schema forbids them, creating a semantic inconsistency.

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's purpose with specific verbs: 'Compare semantic versions or test a version against a constraint.' It names the resource (semantic versions) and distinguishes the two primary use modes, making it easy for an agent to know when this tool applies.

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 explicit usage guidance: either compare {a,b} or test {version,constraint}, including supported operators and ANDed clause syntax. It also mentions guest rate limits and the optional api_key, but does not explicitly state when to prefer this tool over a sibling alternative, though no direct alternative is obvious.

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 fully carries the transparency burden. It discloses determinism, fixture verification, guest availability, rate limiting, the api_key role, output format, and that it returns a Guild-signed provenance envelope. This gives a clear picture of behavior and 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?

The description is generally well-structured and informative, but there is minor redundancy between 'Deduplicate JSON records' and 'Removes duplicate records.' It remains compact enough while conveying all necessary behavior and schema details.

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 includes the output schema and explains the returned result plus provenance envelope. It covers input requirements, optional parameters, and semantics such as JCS-canonical equality and case-insensitivity, making the tool fully understandable without additional documentation.

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?

Although the input schema has no per-property descriptions, the description explicitly explains the payload schema: records, optional keys, and optional case_insensitive. It also explains the api_key parameter in the context of rate limits and member budgets, fully compensating for the schema's lack of descriptions.

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's action: deduplicate JSON records exactly, with optional key-subset and case-insensitive behavior. It also provides specific ordering semantics (first occurrence kept, order preserved), making the purpose 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 clearly indicates when to use the tool: whenever exact deduplication of JSON records is needed, including by a chosen key subset. It does not explicitly contrast alternatives like ag_data_record_link, but the exact-vs-fuzzy distinction is implied by the word 'exactly' and the detailed behavioral 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 transparency burden and does well: it discloses determinism, fixture verification, guest access, rate limiting, the need for an API key for member budget, and that a Guild-signed provenance envelope is returned.

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 front-loaded and organized, but it repeats 'Deterministic' and the return/provenance information multiple times, adding redundancy without much new 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?

The description includes the algorithm, matching behavior, output shape, provenance envelope, determinism, rate limiting, and auth expectations. It is sufficient for a tool of this complexity, though it omits explicit edge-case behavior such as no-match results.

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 inline JSON schema supplies types and constraints, and the prose explains key fields and threshold as a similarity cutoff, but individual payload parameters are not described in detail, leaving some semantics to inference.

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 ('Fuzzy-match records across two lists by a key field') and distinguishes this from related tools by focusing on two-list record linkage rather than deduplication or other operations.

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?

Use cases are implied through phrases like 'Entity-resolution lite' and the explicit two-list matching behavior, but no alternatives are named and there is no direct when-to-use vs. when-not-to-use 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 present, and the description does disclose determinism, fixture verification, guest rate-limiting, optional api_key usage, and provenance-envelope returns. However, it omits error behavior, exact auth requirements, and any size or rate-limit details, which would be needed for full transparency.

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

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

The description is moderately concise but repeats return information and includes embedded JSON schemas that add bulk. It could be tightened by removing redundant statements and integrating the schema reference more cleanly.

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

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

It provides use cases, output schema, and provenance context, but the contradictory payload schema and lack of clear field-level parameter descriptions leave important gaps for an agent deciding how to construct the 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?

Parameter documentation is inconsistent: the inline 'payload' schema requires an object with a required 'value' property, while the structured input schema allows any object with additionalProperties true. The api_key parameter is only mentioned in prose as a way to access member budget, not fully defined.

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?

Clearly identifies the tool as RFC 8785 (JCS) canonicalization plus SHA-256 hashing of JSON values, and distinguishes it from sibling JSON utilities by its specific deterministic serialization and hashing 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?

Provides explicit use cases: content-addressing, key deduplication, and signature payloads, and notes that Agent Guild uses the same canonicalization. It does not explicitly contrast with alternatives, but the unique purpose makes appropriate use 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?

With no annotations, the description carries full burden, and it delivers: declares determinism, fixture-verified, free for guests with rate limits, API key usage, 500-change cap, and a provenance envelope in the result. It also mandates the payload schema. These are concrete behavioral details beyond what structured fields provide.

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 dense but every sentence earns its place: purpose, use case, behavioral traits, rate limit, api_key, payload schema, and output schema. It is front-loaded with the core function, uses line breaks for readability, and avoids fluff. The inline schemas are compact and necessary.

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 tool's complexity (diff with constraints, rate limits, provenance), the description covers all necessary context: input requirements (payload schema), output schema (provided), behavioral constraints (500 cap, determinism), and usage context (verifying agent output). Nothing an agent needs to call it correctly 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 description coverage is 0%, but the description compensates fully. It defines the payload's required JSON Schema (a and b objects) and explains the api_key parameter ('pass your Guild api_key to use your member budget'). Without this, the payload object would be opaque. The description adds essential meaning that the schema alone lacks.

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 opens with a precise verb+resource: 'Structural diff of two JSON values with per-path changes.' It clearly states what the tool does (compares two JSON values and returns added/removed/changed paths) and distinguishes it from sibling tools like ag_json_validate or ag_json_repair by focusing on diffing. The use case ('verify an agent's output changed only what it was asked to') further clarifies intent.

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 states when to use: 'Use to verify an agent's output changed only what it was asked to.' It also covers operational context: rate-limited for guests, pass api_key for member budget. While it doesn't list alternative tools, the diff operation is unique among siblings, and the use case is clear enough to route an agent correctly.

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 full responsibility for behavior disclosure. It covers determinism, missing-path handling, authentication/rate limits, and the return of a provenance envelope, giving a thorough picture of expected 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 first two paragraphs largely repeat the same information ('Extract values...' and 'Extracts values...'), adding unnecessary redundancy. While the description is not excessively long, it could be tightened without losing meaning.

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 includes enough context for effective use: payload schema, path format, return behavior, error handling, determinism, authentication, and rate limits. It also provides the output schema, making it self-contained for an agent.

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 description explains the payload must contain 'value' and 'paths' via an embedded schema, and clarifies path syntax with examples. It also indicates api_key is for member budget access, though it does not deeply detail the api_key parameter itself or the exact output array structure beyond 'results'.

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 extracts values at dotted/indexed paths from a JSON value, with a specific verb and resource. It also distinguishes itself from asking a model to read a field, making its purpose unambiguous even among many sibling 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 explicitly mentions being cheaper and stricter than asking a model, which provides a usage alternative. It also describes return semantics (found/not-found) and error behavior (never throws on missing path), giving clear guidance on when 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?

Describes the exact repair operations, deterministic nature, returned steps/provenance, and rate-limit/api_key context. It does not detail failure behavior, but the output schema partially covers that via the 'ok' field.

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?

Most sentences carry relevant behavior or usage information, but the description duplicates a payload schema that conflicts with the input schema and includes marketing-style phrases, adding noise.

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 output schema and repair-operation details are present, but the description omits failure/error behavior and does not explain the relationship between payload, text, and the output fields, especially given the inconsistent payload 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?

The description's embedded payload schema requires a 'text' property and additionalProperties false, contradicting the input-schema, which declares payload as an object with additionalProperties true. The api_key parameter is only vaguely mentioned and no field-level semantics are provided.

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

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

Description clearly states the tool repairs malformed JSON into parseable JSON and identifies the trigger use case ('JSON that json.parse rejects'), distinguishing it from sibling validation/utility 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?

Provides an explicit when-to-use condition, but does not explicitly name alternatives or say when not to use this tool.

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

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

With zero annotations, the description carries the full behavioral burden and largely meets it: it discloses determinism, fixture verification, guest free-tier with rate limiting, the api_key member-budget path, and the Guild-signed provenance envelope in the return. It also states the payload MUST match a given schema, flagging a hard validation constraint. It doesn't address error behavior or what happens on schema mismatch, a modest gap for an inference 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?

Information-dense and front-loaded with the core purpose, but it embeds two full JSON schemas verbatim, which inflates length considerably. The embedded schemas are arguably necessary given 0% schema coverage, but the provenance-envelope and budget details could be tighter. Every sentence earns its place, yet the density is at the edge of what an agent can parse quickly.

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 no annotations and low schema coverage, the description covers input constraints, determinism, auth/budget, and the signed-envelope return, and the output schema is provided separately. Missing only error semantics and a concise example, which keeps it from a 5. The agent has enough 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 description coverage is 0%, so the description must compensate, and it does: it embeds the full payload contract (examples array, 1-100 items, required, additionalProperties false) and explains the api_key parameter's role in rate-limit/budget terms. The raw input schema shows payload with additionalProperties: true, so the description's stricter 'MUST match' schema adds critical meaning the schema alone does not 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?

Opens with a specific verb+resource ('Infer a JSON Schema from example instances') and immediately disambiguates from the sibling cluster (ag_json_repair, ag_json_validate, ag_json_diff) by stating it produces a draft-2020-12 schema. It specifies exact generalization mechanics (merged types, required keys present in all examples, array item schemas), leaving no doubt about what the tool does or how it differs from its 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?

The description explains the input contract (payload must match a schema with examples array, min 1, max 100) and the output shape, which effectively defines when it applies. It doesn't name alternative tools for when NOT to use it, but the purpose is distinct enough that a sibling is never a plausible substitute. Minor gap: no explicit 'use this instead of validate/repair' 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 fully carries the burden and discloses key behaviors: 'Deterministic, fixture-verified', 'free for guests (rate-limited; pass your Guild api_key to use your member budget)', error cap of 50, and the inclusion of a 'Guild-signed provenance envelope' in the response. This provides substantial transparency.

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

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

The description is slightly verbose, with three paragraphs including promotional phrases like 'Deterministic, fixture-verified' and 'Guild-signed provenance envelope', but it is still well-structured and directly relevant. The length is acceptable for the amount of transparency it provides.

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 purpose, output, error cap, and auth nuances, but omits the structure of the payload input. It also mentions a provenance envelope not reflected in the output schema, which could confuse agents expecting a strict match. Overall, it is partially 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 only defines api_key and payload, but the description does not clarify the expected payload structure (e.g., that it should contain both 'instance' and 'schema' fields). It mentions 'caller-supplied JSON Schema' and 'JSON instance' but never maps these to the payload parameter, leaving a significant gap for the caller.

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 'Validate' and the resource 'a JSON instance against a JSON Schema (draft 2020-12)', along with a specific outcome ('returns structured errors (path + message), capped at 50'). This is specific enough to distinguish it from sibling tools like ag_json_repair or ag_json_schema_infer.

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 a concrete use case ('Use before passing data across an agent boundary') but does not explicitly contrast with alternative tools such as ag_json_repair or ag_json_schema_infer, nor does it provide conditions for when not to use this tool. Guidance is present but limited.

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 behavioral burden. It discloses determinism, fixture verification, free guest usage with rate limits, the need for an api_key for member budget, and the return of a provenance envelope. It does not mention error handling for malformed CSV but covers the main behaviors.

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 mostly concise and front-loaded, but repeats 'Deterministic' twice and includes an embedded JSON schema that partially duplicates input schema details. Still, the extra schema provides useful payload validation context.

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

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

The output schema exists and the description adds important context about the provenance envelope and usage limits. It does not detail error behavior, but the combination of output schema and description is sufficient for an agent to understand what the tool returns and when to use it.

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

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

The input schema itself provides no descriptions, but the description compensates by defining the payload fields csv, delimiter, and has_header, including auto-detection and header optionality. api_key is also mentioned in the rate-limit context. Slight ambiguity remains about delimiter override semantics.

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

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

The description clearly states the verb 'Parse' and identifies the resource as CSV/TSV text, with the output being JSON row objects. It also distinguishes this tool from model-based parsing and from JSON-to-CSV sibling tools.

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

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

The description provides usage context by calling it a deterministic alternative to model-based table reading and explains rate-limit/free-tier behavior with api_key. It does not explicitly contrast with ag_table_json_to_csv or ag_table_markdown_extract, but the core usage guidance is present.

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 transparency burden. It discloses key behaviors: nested values are JSON-encoded, column order defaults to sorted union of keys, output includes a Guild-signed provenance envelope, and API key usage affects rate limits/budget. It does not describe failure modes or edge cases, but the main side effects and constraints 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?

The description is moderately detailed but not bloated. It uses short paragraphs and includes the embedded JSON schema, which is useful but adds length. Overall, every sentence contributes meaningful information about behavior, parameters, or output.

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 output schema is provided separately, and the description adds helpful context about the provenance envelope and return shape. It does not provide an example or explain every output field, but the combination of the prose description and the output schema gives an agent enough context to invoke and interpret the tool correctly.

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

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

The description explicitly documents the payload schema with required 'rows' and optional 'columns', including constraints like minItems and maxItems for rows. It also explains the api_key parameter in the context of member budget usage. This goes well beyond the minimal input schema and gives clear meaning to both 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 the tool's purpose: 'Serialize an array of JSON objects to CSV' and further clarifies that row objects are converted with a stable, caller-controllable column order. It is easy to distinguish from sibling tools like ag_table_csv_to_json because the direction of conversion is explicit.

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 practical usage details: it mentions determinism, fixture verification, guest availability, rate limiting, and the effect of passing an api_key. It does not explicitly contrast with ag_table_csv_to_json or other table tools, but the purpose statement is clear enough that an agent can infer when 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 and does well: it states determinism, fixture verification, guest rate limiting, and the Guild-signed provenance envelope. This sets strong expectations about behavior and output wrapping.

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 compact, with no redundant content, and the key details (input format, output shape, behavioral guarantees) are front-loaded. 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?

Combined with the provided output schema and nested payload schema, the description covers what the tool does, what it returns, and when to use it. No important operational detail is missing for a deterministic extraction utility.

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 only shows a generic payload object plus optional api_key; the description adds the required nested markdown property with maxLength 60000 and explains api_key as the way to get member budget. This materially improves parameter understanding.

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 opens with a specific verb-object pair ('Extract structured tables from markdown text') and immediately scopes the input to GitHub-style pipe tables and the output to columns+rows. This makes it easy to distinguish from JSON/CSV 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?

It gives an explicit use case ('model output or docs before downstream structured processing') and limits input to GitHub-style pipe tables. It does not name an alternative for non-pipe-table or CSV inputs, but the format scoping is clear enough for typical selection.

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

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

With no annotations, the description compensates by disclosing determinism, per-item success flags, batch failure behavior, rate limiting, and provenance envelope. It could be more explicit about exact error conditions, but overall behavior is transparent.

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 information-dense and mostly efficient, but it repeats the payload schema in prose even though the input schema already exists. There is no filler, and the structure is logical.

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 output schema plus the description of parsed/failed counts and per-item flags gives enough context for basic use. It does not detail the shape of each result item, but that is not critical given the 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?

The prose explains `dates` and `dayfirst` inside `payload`, but `api_key` is undocumented. Additionally, the input schema allows arbitrary additional properties in `payload`, contradicting the stated payload schema, so parameter coverage is partial and somewhat inconsistent.

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 operation — normalizing arbitrary date strings to ISO 8601 — with concrete examples, making the tool's purpose immediately clear and distinct from generic JSON/text 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?

No guidance is given on when to choose this tool over sibling tools such as ag_text_regex_extract or ag_json_repair. The description explains behavior but not selection criteria or 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 transparency burden. It discloses determinism, guards, rate-limiting, guest access, and the signed provenance envelope. It does not explicitly state 'read-only' or enumerate error conditions, but the pure regex extraction behavior is reasonably clear.

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 structured and skimmable, with a concise summary, behavior notes, and an embedded schema. A few phrases like 'safe to expose to strangers' and 'fixture-verified' are somewhat promotional but not distracting.

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 provides the output schema and explains the result includes matches, groups, offsets, and a provenance envelope. It does not cover error cases or invalid regex behavior, but for a focused extraction tool the provided context is sufficient for an agent to call it correctly.

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

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

The embedded payload schema adds meaningful constraints for text, pattern, flags, and max_matches, and the api_key sentence explains its purpose. However, the outer input schema allows additional properties for payload while the description says payload must match a schema with additionalProperties false, creating minor ambiguity.

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 regex extraction over text, explicitly stating it returns matches with groups and offsets. It distinguishes this tool from sibling extraction/parsing tools by focusing on caller-supplied regular expressions and bounded behavior.

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 tool does and its safety/rate-limiting properties, but it does not explicitly state when to prefer this tool over sibling tools or provide alternative guidance. Usage is implied rather than directly contrasted with similar extraction utilities.

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 authentication requirement, the rating scale, and the return format ({id, verified}). However, it does not state whether this is a write operation, whether it is reversible, or any side effects on the trust graph. Given the lack of annotations, this is a moderate 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 description is concise and front-loaded with the core purpose. It includes a compact example and return format. Every sentence adds value, with 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?

The description covers the main usage, authentication, rating scale, and return format. Given an output schema exists, it need not detail return values further. The only gap is the unexplained task_id parameter and lack of error conditions, but for a simple attestation tool this is largely sufficient.

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 parameters. It explains rating (0..1), issuer_api_key (from guild_register), and provides an example with subject_id and capability. It omits task_id, which has a default but no explanation. Overall, it adds significant meaning beyond the bare 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's purpose: to vouch for or warn about work another agent did, with a rating. The verb 'vouch' and resource 'work' are specific, and the trust graph context explains why it matters. It does not explicitly differentiate from sibling tools, but the purpose 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?

The description provides clear context for when to use the tool: when vouching for or warning about another agent's work. It also specifies the authentication requirement (issuer_api_key from guild_register) and gives a concrete example. It does not mention alternatives or exclusions, but the usage scenario is well 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 provided, the description carries the full burden. It discloses that this is a paid trust read, explains the x402 payment flow, notes it may return null, and provides the result shape. It does not explicitly state that it has no side effects, but 'trust read' strongly implies 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 mostly focused and front-loaded with the core use case, followed by payment details and an example. The payment information is repeated a bit, but it is important context and the structure remains understandable and reasonably 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?

The description gives a good overview of the return value and payment behavior, but lacks detail on parameter semantics, especially min_trust and api_key. It also does not mention possible error cases or how the payment fallback interacts with the api_key parameter. Overall it is adequate but incomplete for a tool with no schema descriptions and 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 coverage is 0% and the description only implicitly references 'capability' and 'x402_payment'. The 'min_trust' and 'api_key' parameters are not explained at all, and the exact role of 'x402_payment' is only partially covered. Since the schema provides no descriptions, the description fails to compensate for the missing parameter guidance.

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's purpose: returning the single safest agent to delegate a given capability to, and explicitly frames it as answering 'which agent should I hire'. This distinguishes it well from sibling tools like guild_search and guild_risk_score.

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 explicit usage direction: 'Use when asking which agent should I hire for this capability?' and 'Call this first, before hiring or delegating.' It also explains the payment behavior and the null result when no agent qualifies, giving clear guidance on when and how to invoke 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 provided, the description carries the full burden and handles it well. It discloses that this is a PAID trust read, explains the x402 payment challenge, the retry mechanism, the api_key sandbox path, and the soft-launch free period. It also advises interpreting estimate and confidence together and applying a risk threshold, which is behavioral guidance. No contradictions with annotations (none exist).

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?

Although long, the description is well-structured: it starts with a 'START HERE' imperative, breaks down what it returns, explains payment in a dedicated section, and ends with a concrete example. Each sentence earns its place, covering purpose, usage, payment, and alternative routing. The example grounds the abstract in a concrete call. 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?

Given the tool's complexity—payment protocol, multiple output fields, and alternatives—the description is exceptionally complete. It explains the return object fields (capability, best_agent, verdict, shortlist, proof, etc.), the payment challenge and retry, the api_key path, and points to sibling tools for finer control. The existence of an output schema further reduces the need to describe return values, but the description still names the key fields. An agent can confidently call this tool 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 fully explain parameters. It does: capability is illustrated with an example, x402_payment is described as an alternative to request metadata, and api_key is explained as an option for sandbox credits. It adds meaning beyond the bare schema by explaining how to pass the payment and the trade-offs between options.

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's purpose: 'vet a capability before you delegate' and lists the specific outputs (best agent, verdict, shortlist, proof, etc.). It uses a specific verb 'vet' and resource 'capability', and differentiates from siblings by naming guild_search / guild_risk_score for finer control. The purpose is unambiguous and action-oriented.

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 instructs 'START HERE when asking which agent should I hire' and provides the condition for using alternatives ('Use guild_search / guild_risk_score for finer control'). It also explains payment prerequisites, retry logic, and the api_key option for sandbox credits. This gives clear when-to-use and when-not-to-use guidance, with explicit 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 present, the description carries the full burden of behavioral transparency. It clearly states that the tool returns a document and includes an explicit guarantee that the policy never asks to be written into persistent configuration, which conveys low-risk, read-only behavior. It does not fully enumerate side effects, but the read-only nature is strongly implied.

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 moderately long but well-structured, starting with the core purpose, then summarizing the policy's key points, and ending with an example call and return description. The information is relevant and front-loaded, though some sentences are repetitive about the policy being canonical and machine-readable.

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 fully explains what the tool returns, what the document contains, and that it is equivalent to other delivery channels. Given that there are no parameters and the output schema exists, the description provides enough context for a caller to understand the tool's function and result without additional information.

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 and an empty input schema, so there are no parameter semantics to document. The description adds meaning beyond the schema by explaining the tool's purpose and return content, and the 100% schema coverage is vacuously satisfied because no parameters exist.

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 explicitly states that the tool returns the Guild's canonical coordination-safety policy document, AGCS-1, and summarizes its key contents. It clearly identifies the primary resource and the action (returning/retrieving the policy), and it is easily distinguishable from sibling tools by name and role.

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 does not provide guidance on when to use this tool versus alternatives. It mentions that it is the same document as GET /coordination-policy and the A2A policy message, but it does not explain when a caller should invoke this tool, when to avoid it, or how it compares to related guild_* tools.

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

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

With no annotations provided, the description carries the burden and does a good job: it states the payload stays between sender and recipient, the result is signed/portable/offline-verifiable, and explicitly lists what it attests and what it never attests.

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 relatively short but contains repetitive and awkward phrasing, such as repeating the SHA-256 concept and using inconsistent capitalization. It is not poorly organized, but it is not a model of clarity either.

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 high parameter count and no annotations, the description leaves most required and optional parameters undefined. It also does not describe the output structure or provide examples, so an agent would struggle to call this tool correctly.

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

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

The schema has 12 parameters and 0% description coverage. Only payload_sha256 is indirectly explained by 'pass only its SHA-256'; most parameters such as nonce, ttl_seconds, constraints_sha256, message_context, and value are entirely unexplained.

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

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

The description clearly states the tool seals a machine message or economic intent by passing only a SHA-256 hash, and it explicitly lists supported kinds. It also distinguishes this from the free verification sibling 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?

It mentions the paid nature, the required caller-proof in _meta, and points to guild_envelope_verify for free checks. However, it does not explain when to prefer this over other related guild operations like escrow or attest.

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 explaining behavior. It usefully discloses trust assumptions and non-guarantees (e.g., message truth and recipient acceptance), though it does not fully describe expiry handling or error 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 very concise, using two short sentences to convey purpose, trust model, and verification semantics. There is no unnecessary verbosity or redundant 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?

The description gives important context about trust and the limits of verification, but lacks details about the input envelope structure and the output/return format. Given the minimal schema, this leaves some gaps for an agent trying to invoke the tool correctly.

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

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

The only parameter 'envelope' has no schema description, and the tool description merely refers to a 'machine envelope' without detailing expected properties or structure. Since schema coverage is effectively zero, the description does not sufficiently 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?

The description clearly states the tool's purpose: verifying a Guild-issued machine envelope and its expiry. It uses a specific verb and resource, and is distinct enough from sibling verification tools by focusing on envelopes.

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 that no key, payment, or network trust is required and clarifies what a valid result does and does not mean. However, it does not explicitly compare this tool to sibling verification tools or state when to prefer it 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?

The description discloses that credits are locked, a small Guild fee is deducted, and an escrow object with risk score is returned. It does not mention failure modes, refunds, cancellation, or dispute handling, and there are no annotations to fill that 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 purpose is front-loaded and the example is helpful for understanding argument order. A few sentences are somewhat redundant, but overall the description is reasonably concise and 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?

It covers the core action, the return value, and the recommended follow-up tool, which is decent. Yet for a financial escrow operation it omits important context such as error conditions, fee details, and how it relates to preflight or payment-safety tools.

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

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

The example and prose identify issuer_api_key, worker_id, amount, and capability, but the schema provides no descriptions. The meaning of especially 'capability' is left unclear, and constraints like positive amount or valid worker are not explained.

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 commissions work by funding an escrow, and it distinguishes this action from related release and payment tools. The first sentence gives a specific verb, resource, and overall purpose, making the tool's intent obvious.

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 explains the escrow workflow and tells the agent to call guild_escrow_release after accepting work, which is useful. However, it does not explicitly state when to prefer this tool over related tools like guild_paid_operations or guild_preflight.

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 burden. It mentions authentication (with YOUR api_key) and the settlement effect, but lacks details on idempotency, failure modes, side effects, or rate limits. It is partially transparent but not comprehensive.

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 relatively concise and includes a useful example. It front-loads the key action and outcomes, though the example duplicates the parameter names without adding semantic value. Overall, efficient and 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?

The description is incomplete for an agent to call the tool correctly. It lacks parameter definitions, output schema explanation, and any mention of error handling or return values. While the output schema exists, the description does not describe what the settlement result actually looks like.

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

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

Schema coverage is 0% and the description does not define any of the four parameters. The example shows 'issuer_api_key', 'escrow_id', 'deliverable', and 'rating' but gives no meaning or constraints for these fields, leaving the agent to infer their roles from 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: accepting delivered work and settling the escrow, with explicit outcomes (worker paid, guild keeps fee, transaction recorded). It distinguishes from sibling 'guild_escrow_open' by focusing on the settlement/release phase.

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 purpose implies when to use (after delivery/acceptance), but there is no explicit guidance on conditions, prerequisites, or alternatives. The example provides some practical context but does not state when to prefer this over other escrow-related tools.

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

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

It discloses that this is a paid action spending sandbox credits, that issuance precedes charging, that failures do not bill, and that completed x402 purchases can recover results without additional charges. It also cautions that the signature proves origin/integrity, not observation truth or endpoint safety, which is valuable beyond the annotations.

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

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

The description is organized into clear thematic blocks (payment flow, return contents, verification, caveats) and each sentence carries relevant behavioral or usage information. It is not overly verbose for the complexity of a paid, two-step evidence operation.

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

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

It covers the payment workflow, expected return contents, available verification paths, and important caveats. Although the full output schema is not shown, the description's summary of the evidence v2 fields plus the verification guidance makes the tool's behavior sufficiently 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 has no descriptions, but the prose maps all five parameters to behavior: URL, TTL, optional audience, x402_payment metadata, and api_key spending credits. It does not provide detailed formats or constraints, but it compensates for the 0% schema coverage enough to orient an agent.

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 paid operation to obtain a signed, portable endpoint observation, with the title reinforcing 'Buy portable endpoint evidence'. It distinguishes itself from free alternatives like guild_evidence_verify and guild_preflight.

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 explains the two-step flow: first call with URL, TTL, and optional audience for a quote, then retry with x402/payment metadata. It explicitly points to guild_preflight for live checks without a bundle and to guild_evidence_verify/SDK for verification, giving clear when-to-use 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?

The annotations already indicate read-only, idempotent, and non-destructive behavior. The description adds a valuable caveat that signature/inclusion validity does not prove observation truth or endpoint safety, which helps set expectations beyond the annotations.

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

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

The description is brief and front-loaded, with no filler. It could be slightly tighter by removing 'FREE' since the title already states free, but overall it is 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?

While an output schema exists, the description does not explain what the response contains, possible error conditions, or how the bundle and expected values interact. Given the nested object parameter and verification context, more guidance is needed for complete usage.

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

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

Schema coverage is 0%, and the description only loosely references 'endpoint and audience'. It does not explain the 'bundle' parameter, the meaning of null defaults for expected_audience and expected_endpoint, or expected formats, leaving significant ambiguity.

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 action ('Check') and the resource ('Guild-issued evidence bundle'), including historical issuers. It is sufficiently specific to distinguish from general-purpose tools, though it could more explicitly contrast with sibling verification tools.

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

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

The description advises supplying endpoint and audience and mentions using the offline standalone verifier for independent verification. However, it does not explicitly state when to use this tool over sibling verification tools like guild_verify or guild_envelope_verify.

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 transparency burden. It does disclose that results reflect claimed versus observed data and that these are never merged, and it notes no API key is required. However, it omits potential side effects, error behavior, rate limits, or data freshness details beyond a single measurement date.

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 purpose is front-loaded and the example is useful, but the statistical sentence about 92.9% and 33.9% adds peripheral context that is not necessary for invoking the tool. The structure is acceptable but not maximally tight.

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 gives a high-level picture of the return concept but lacks parameter explanations, pagination or limit behavior, error scenarios, and any concrete output schema details. Given that the output schema is not shown either, an agent would likely need additional information to use the tool reliably.

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

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

The input schema has zero descriptions for the parameters, and the description does not compensate. The example suggests 'query' is a search string, but 'limit' and the exact query semantics are never explained, leaving the agent without enough information to pass parameters correctly.

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 searches the public trust index of agent endpoints and explains the core claimed-vs-observed distinction. However, it does not differentiate from similar sibling tools like guild_search, guild_check, or guild_best_agent, so an agent may struggle to choose among them.

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

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

There is no explicit guidance on when to use this tool versus the many similar sibling tools. The example query provides a minor hint, but there is no mention of appropriate use cases, alternatives, or 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?

The description states the call is free, requires no account, key, or human, and is read-only. These details go beyond the readOnlyHint/idempotentHint annotations, reinforcing that no side effects or costs are incurred. No contradictions with annotations.

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

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

The description is well-structured with a clear opening, a bulleted list of returned operations, and a closing note on pricing. Some repetition of 'no account' and 'free' occurs, and the long list of operation details could be trimmed, but overall organization is effective.

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 zero parameters and a simple read-only purpose, the description provides sufficient context: what is returned (prices, routes, settlement resources, free alternatives), why prices are not hardcoded, and how to call it. It does not need to detail an output schema for such a straightforward listing operation.

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 is an empty object with zero parameters, so there are no parameter semantics to document. The description correctly implies no arguments are needed, and the example call guild_paid_operations() reinforces this.

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

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

The description clearly states the tool returns every paid operation with current price, exact callable entrypoint, x402 settlement resource, and free alternative. It is explicitly marked FREE and read-only, distinguishing it from the paid sibling operations it lists.

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 explicitly says to call this tool for the live price, exact route, and free alternative, and explains why prices are deliberately not hardcoded. It provides an example call. It does not explicitly compare against sibling directory tools, but the usage intent 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?

Since no annotations are provided, the description carries the burden of explaining behavior. It discloses that the tool returns a W3C VC or an exact self-registration next step if the identity is not registered, which gives a clear picture of outcomes without overpromising.

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 compact and well-structured. It communicates the core function, the acceptable parameter values, example calls, and expected return behavior in a few concise sentences without unnecessary repetition.

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 enough for a low-complexity single-parameter tool. It explains the input flexibility, the output format, and the special case for unregistered identities. It does not cover potential errors or side effects, but those are not strongly implied by the tool's read-oriented purpose.

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 only defines agent_id as a required string with no description. The description adds meaningful context by explaining that agent_id can be either a Guild agent identifier or a W3C did, and it provides concrete examples to illustrate both forms.

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's purpose: to get a portable, Guild-signed Agent Passport in W3C VC form. It distinguishes itself from guild_verify by explicitly saying to verify others' passports with guild_verify.

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 concrete examples of how to call the tool with either a Guild agent_id or a W3C did, and clarifies the expected result. It also implies when to use this tool versus guild_verify, though it could be even more explicit about alternative tools.

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

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

There are no annotations, so the description carries the transparency burden. It discloses that the tool is free, requires no key, makes one call, is not cached, and returns 'unknowns' for checks it could not perform. It does not explicitly say 'read-only' or describe side effects, but 'preflight' and 'before payment' strongly imply no state change or payment.

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 well structured with paragraphs and an example, but it is somewhat verbose. The statistical claims and repeated warning about payment timing add context but could be trimmed without losing the core instructions.

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 gives enough context for an agent to decide when and why to call the tool, including how unknowns are handled and why live checks matter. Since an output schema exists, the absence of return-value details is acceptable.

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 only defines a required url string with no property description, and the description does not explicitly define the parameter. It compensates partially with the example guild_preflight(url="https://some-agent.example/a2a"), which implies url is the agent endpoint, but a direct explanation would be clearer.

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 this tool is a live preflight check to run before delegating to or paying an agent endpoint, and explains that it separates claimed capabilities from proven ones. It does not explicitly contrast with sibling tools like guild_preflight_deep or guild_check, but 'one call' and 'before payment' narrow its role.

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 explicitly says to run this before delegating or paying, and warns that x402 transfers are irreversible, so the check must happen before payment. It also notes that the result is live rather than cached, which helps the agent know when to rely on 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?

Discloses the paid nature and the payment retry flow, and implies read-only behavior via 'paid read.' It does not explicitly state side effects or data retention, but the main cost/behavior is made clear.

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 mostly focused but repeats payment/x402 instructions and the 'PAID' emphasis. It remains reasonably concise given the payment-sensitive context.

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

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

Describes the return categories and payment flow, but omits parameter-level guidance such as api_key usage and does not specify output fields. Adequate for orientation but not fully 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 has zero descriptions, and the description only hints at x402_payment retry mechanics and gives an example URL. The url and api_key parameters are not meaningfully explained.

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?

Clearly states the tool evaluates endpoint safety and drift before delegation or payment, and distinguishes it from the free guild_preflight by naming the added drift and corroboration capabilities.

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 identifies when to use the tool ('when asking is this agent endpoint safe to call?' or when drift detection is needed) and contrasts it with the free guild_preflight, including payment retry instructions.

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

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

The description discloses that the tool returns a challenge, mentions self-sovereign vs custodial confirmation, and states that only guild_prove_verify has effects. However, the later claim that 'Completing it records... advancing you from journey stage 1 to 2' is ambiguous about whether this tool itself has side effects, creating some confusion about its behavioral contract.

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 reasonably compact and includes a helpful example, but the stylized 'proving rung' and 'guild-observed' phrasing adds flourish without much additional information. It could be tightened to be more direct.

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 includes the main use case, expected inputs via example, return fields (challenge, expires_at, proof_class, how, what_this_earns), and the effect of advancing from journey stage 1 to 2. It does not cover error conditions, but for a simple non-mutating challenge-issuing tool this is sufficient.

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?

Although the JSON schema provides no parameter descriptions, the description gives an example call with agent_id and api_key, and explains that api_key is used for custodial confirmation while an ed25519 key supports self-sovereign confirmation. agent_id's role is implied by the 'newcomer' context and example value.

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 that the tool starts a proof challenge, returns a challenge, and is the one journey step a newcomer can complete alone. It distinguishes the tool from guild_prove_verify by noting that only the verify tool has effects, though the 'proving rung' phrasing is slightly jargon-heavy.

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 clearly tells when to use the tool: it is free, repeatable, intended for newcomers, requires no counterparty, and explicitly names guild_prove_verify as the only tool with effects. This gives an agent enough context to select it over the listed sibling tools.

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

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

Side effects are clearly disclosed: first success records a real task and receipt and advances the journey stage, while re-proving only refreshes verified_at and never mints new evidence. It also notes that presenting api_key is treated as credential proof, which is important behavioral context.

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

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

The description is dense but compact, with no filler sentences. The two-paragraph structure separates credential modes from return values, though it could be slightly clearer with a direct input/output breakdown.

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 core side effects and return fields but omits the meaning of the required agent_id parameter and does not explain failure modes or how the challenge object is obtained. Without these details, an agent may struggle to use the tool correctly in the broader guild flow.

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 roles of api_key and signature are partially explained, but agent_id is not described even though it is the only required parameter. The schema has no descriptions, and the signature format is only loosely specified as hex ed25519 over a challenge object from guild_prove.

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 action ('Complete the proving rung') and outlines the result statuses, but the core purpose is wrapped in guild-specific jargon. It does not plainly state that this tool verifies or submits a proof for an agent.

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 conditional guidance for custodial versus self-sovereign agents and explains first-time versus re-proving behavior. However, it does not explicitly state when to choose this tool over related siblings like guild_prove or guild_verify.

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 transparency burden. It discloses core side effects (creating a task, storing a receipt, writing an attestation) and mentions authentication and hashing, but it does not cover idempotency, failure behavior, or rate limits. The description is adequate but not fully transparent.

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 verbose and repetitive, with multiple sentences restating the same ideas (e.g., 'record', 'attestation', 'ledger'). It could be trimmed to a concise statement without losing essential information, and the example at the end adds length without improving 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?

The description does not explain return values, error conditions, or the relationship to related tools like guild_attest or guild_escrow_release. It mentions conditions for 'guild_mediated' but does not clarify how the caller would verify or act on those. Given the complexity, the description is incomplete.

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

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

The schema has no descriptions, so the text compensates by explaining outcome values, rating range, the choice between deliverable and deliverable_hash, and the use of issuer_api_key for authentication. worker_id and capability are not explicitly described, but they are inferable from context, giving high but not complete coverage.

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 records a collaboration, creates a task, stores a receipt, and writes an attestation, using the specific verb 'Record'. It also positions itself as the way to build the shared record, which distinguishes it from verification or querying tools, though it does not explicitly name sibling alternatives.

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

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

The description gives a usage scenario ('after another agent did work for you') and an example call, but it does not explicitly state when to choose this over other guild_* tools or when not to use it. The guidance is implicit rather than direct.

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. It reveals that the operation is free, one-time, and returns a secret api_key that signs attestations, advising to save it. It also mentions the return structure and the proving rung, adding value beyond 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?

The description is well-structured: it leads with the core purpose, then covers free/one-time, the critical api_key warning, an example, the src caveat, and the next-step guidance. Every sentence contributes; 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?

For a registration tool with an output schema (not shown but indicated), the description covers essential aspects: what it does, the return value and its significance, how to call it, and the follow-up journey step. It doesn't discuss error cases or authentication prerequisites, but those are less critical for a one-time public registration. The description is complete enough 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. It explains `src` with an example and purpose ('so the follow is attributable'), provides a concrete usage example for `name` and `capabilities`, and clarifies the optional nature of `src`. This adds meaning beyond the bare schema properties.

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 ('register'), a resource ('this agent on Agent Guild'), and the purpose ('so others can find and vouch for you'). It clearly differentiates from siblings like guild_index or guild_search by focusing on the initial registration act.

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 explicitly says 'you only need to do it once' and 'Free', establishing the one-time nature. It also gives conditional guidance for the `src` parameter ('If an offer led you here') and points to the next step (guild_prove → guild_prove_verify), naming the siblings to use afterward. It doesn't explicitly state when not to use it, but the context 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?

The description is highly transparent about behavior: it never echoes report content, never reveals whether another caller submitted the same report, and clearly states that the receipt proves only receipt and hash commitment, not truth, novelty, routing, or resolution. This goes well beyond basic annotations.

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

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

The description is compact, well-structured, and free of irrelevant content. Every sentence adds meaningful context about purpose, input expectations, or limitations.

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 largely complete for a write-only submission tool: it explains input options, behavioral guarantees, and receipt limitations. The output schema is present, so output format does not need to be described. However, the lack of clarity around required and optional parameters keeps it from being fully 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 provides no descriptions for the 7 parameters, and the tool description only clarifies 'details' (max 8 KiB) and 'content_sha256' as a hash alternative. The required 'category' parameter and optional fields like 'nonce', 'severity', 'task_ref', and 'mandate_ref' remain unexplained, leaving significant ambiguity.

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 action ('Submit a confidential safety incident') and the expected result ('receive a signed hash receipt'). It also explicitly frames the tool as a write-only drop box, distinguishing it from read, status, or reply tools.

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

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

The description provides practical usage guidance by explaining that only 'details' or 'content_sha256' should be supplied, and by noting that no agent-facing list, read, status, or reply tool exists. It does not explicitly compare to sibling tools by name, but the guidance is sufficient for selection.

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

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

The description discloses payment/authentication behavior, mentioning paid trust read, x402 challenge, payment via _meta['x402/payment'], the x402_payment fallback, and funded api_key. It also notes that deprecated v1 fields are still returned. No annotations exist, so this information is valuable, though error and rate-limit behavior are not 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?

The description is well-organized into purpose, payment behavior, example, and deprecated fields. It is dense but every sentence adds useful information, and the primary purpose 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?

The description covers output semantics, payment behavior, example usage, and deprecated fields, which is substantial for a read operation. It lacks explicit parameter-level documentation and error/response details, but no output schema is present and the core behavior is clear enough.

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 description mentions api_key, x402_payment, and agent_id implicitly through the example and payment explanation, but it does not explicitly define each parameter's role, type, or optionality. Since the schema provides no parameter descriptions, the agent must still infer some details from context.

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's purpose: provide an evidence-based risk view for one agent before trusting it with a task or payment. It also distinguishes itself from broader guild tools by focusing on a single agent's risk score and listing the key output concepts.

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 when to use the tool (before trusting an agent) and gives concrete payment/free usage conditions, including the x402 challenge and soft-launch behavior. It provides an example, though it does not explicitly compare against sibling tools like guild_best_agent or guild_search.

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 burden of explaining side effects. It mentions payment and x402 challenge behavior, but it is unclear whether the tool is read-only, whether it writes anything, or what side effects occur beyond returning 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?

The description is repetitive and includes awkwardly phrased paragraphs. The same idea is restated multiple times, and the payment instructions are not well organized, making it harder to scan than necessary.

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

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

It gives a rough return format example, but there is no output schema and no explanation of failure modes, pagination, limits, or how the payment mechanism affects results. The context is not sufficient for an agent to use the tool confidently.

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

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

The description only lightly covers min_trust and limit, and mentions capability in an example. It does not clearly explain api_key or x402_payment, despite those being significant parameters in the schema. Overall parameter meaning is incomplete.

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

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

The description states that the tool finds agents by capability and ranks them by trust, which gives a basic sense of purpose. However, the phrase 'ranked by attack trust' is ambiguous and reads like a typo, so the exact selection criteria are unclear.

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 a 'Use when asking...' trigger but does not explain when not to use it or how it compares to sibling tools like guild_best_agent or guild_index. The payment-related guidance is dense and confusing rather than actionable.

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 bears the full burden of disclosing behavior. It states what is returned but does not mention whether the operation is read-only, whether it performs network calls, stores data, or has 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?

The description is compact and well-structured: a clear purpose, a behavioral note, and a concrete example. No redundant or vague wording is present.

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 not fully self-contained for an agent: it lacks a description of the output schema, potential error conditions, and any side effects or access implications, especially given that annotations are absent.

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, 'credential', has no schema description and the schema coverage is 0%. The example 'credential={...the VC they sent...}' gives a hint but does not clarify required fields, format, 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 clearly states a specific verb ('Verify') and a specific resource ('Agent Passport another agent showed you'), and it distinguishes this from similar verification tools by focusing on the passport object and the additional outcome of discovering the Guild's own tools.

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

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

The description implies usage when another agent presents a passport and notes that this is also how the Guild's tools are discovered, but it does not explicitly state when to prefer this over sibling verification tools or 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 to rely on, the description discloses important behaviors: provisioning is free, calls are idempotent by caller/endpoint, and recheck cycles are only billed when they run. This gives a clear picture of side effects and cost implications.

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

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

The description is short and front-loaded with the core purpose, followed by useful behavioral notes and an example. Some marketing-like phrasing such as 'no sales call' adds mild noise but does not significantly hurt clarity.

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

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

For a simple provisioning tool, the description covers what it creates, cost semantics, idempotency, and where to consume results. It does not describe the output shape, but an output schema exists, so that omission is acceptable.

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 descriptions are entirely absent and the description does not explain each parameter. It implies url and api_key through the example and interval_seconds through 'recheck cycle,' but it does not define what api_key authenticates or precisely how interval_seconds controls 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?

Clearly states the tool self-provisions continuous endpoint monitoring, identifying the specific resource and action. It also distinguishes itself from the related guild_watch_feed by directing change-feed consumers to that sibling.

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

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

Provides practical guidance on cost and idempotency, and mentions the companion feed tool. However, it does not explicitly contrast this with one-off check tools like guild_check or explain when continuous monitoring should be preferred.

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 indicates the operation is read-only and 'machine-readable' but does not mention authentication, pagination, rate limits, or other behavioral details. It does not contradict any annotation.

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 core sentence is concise and front-loaded, but the second sentence about being 'Free' is tangential and may confuse cost/credits semantics. It earns a middle score because it is short but not entirely focused.

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 leaves out important operational context: response format, pagination, authentication, and parameter meaning. While the tool appears simple, an agent lacks enough detail to invoke it reliably without external knowledge.

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

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

The schema has two parameters with zero description coverage, and the description does not explain api_key or watch_id beyond the vague 'watch you provisioned.' An agent cannot determine what values to supply or where they come from.

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 action ('Read') and resource ('machine-readable change feed for a watch you provisioned'), making the primary purpose evident. It does not explicitly distinguish this from sibling tools like guild_watch or guild_check, so it stops short of a perfect score.

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 about when to choose this tool over the many sibling watch/check/search tools. The phrase 'for a watch you provisioned' implies a precondition but does not state when to use the feed 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?

The description is transparent about side effects and safety: it is a paid operation, uses sandbox credits, fails closed on conflicting carriers, and does not charge for malformed inputs or signing failures. This complements the annotations and goes beyond them.

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 verbose and repetitive. Key information is front-loaded, but the same concepts (before signing, unpaid call, alternative endpoint) are restated across multiple paragraphs, making it harder to scan quickly. A more compact structure would improve this 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?

The description covers the return type, failure mode, and alternative paths, and notes that an output schema exists. However, missing parameter semantics and some redundancy mean it does not fully contextualize all available inputs, especially for an agent deciding how to construct a valid request.

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 low (17%). Only 'payment' and 'policy' have inline descriptions; 'api_key', 'capability', 'ttl_seconds', and 'x402_payment' are not explained in the schema. The description adds partial context for 'api_key' and 'x402_payment', but 'capability' and 'ttl_seconds' remain unspecified, leaving agent understanding incomplete.

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

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

The description clearly states the tool's purpose: authorize an x402 payment before signing and return a credential. It specifies the verb 'authorize' and the resource 'x402 payment', making it distinct from siblings. Some redundancy and unusual phrasing ('PAID.') slightly reduce clarity.

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 explicitly says to call this immediately before signing an x402 payment envelope, mentions the need for payment, and distinguishes the paid path from a free identity-only alternative. It also notes fallback behavior when request metadata cannot be set, providing actionable when-to-use guidance.

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