Genuine Good Grants

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, covering safety and side-effect profile. The description adds value by disclosing the paid nature and the price ($5.00 USDC via x402 on Base), which is not captured in annotations, and by specifying the data provenance (Grants.gov) and normalization. It does not contradict annotations, and the added cost and endpoint context goes beyond the structured fields.

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

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

The description is two sentences long, front-loading the core purpose and immediately listing the output fields, followed by the endpoint and pricing. Every sentence earns its place, with no fluff or redundant phrasing. This is a model of conciseness.

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

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

While the description lists the return fields, which is useful, it does not explain how to specify which opportunity to retrieve (e.g., a grant ID or search criteria). The schema defers to an external OpenAPI contract, so the description relies on that to fill the gap. Given the tool has no parameters defined in the schema, the description should ideally mention that the request requires an identifier, but it does not. This is a notable gap for a detail endpoint.

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 parameters and the description does not add any parameter-level detail, which is appropriate. Since there are no parameters, the baseline score is 4. The description's mention of the returned fields and the pointer to the OpenAPI contract indirectly covers the request context without needing to describe individual 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 verb 'Retrieve' and the resource 'an official Grants.gov opportunity', and lists the specific data fields it returns (applicant types, eligibility text, award range, deadline, categories, provenance). This distinguishes it from generic or vague tools, but it does not explicitly contrast it with sibling tools like federal-grant-search or grant-opportunity-brief, which likely have overlapping purposes.

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 mentions that it is a paid HTTP endpoint with a price and endpoint URL, which implies a cost consideration, but it does not provide explicit guidance on when to use this tool versus its siblings (e.g., 'use for detailed normalized data' vs. 'use search for discovery'). The context of being paid and the endpoint is helpful, but the lack of when-to-use or when-not-to-use leaves the agent to infer its role.

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?

Annotations already establish readOnly/openWorld/idempotent/non-destructive. The description adds meaningful operational context: the endpoint is a paid HTTP service, the price is $5.00 USDC, and payment is via x402 on Base. This goes beyond the annotations and discloses a cost/auth-related 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 two sentences with no filler. It front-loads what the tool returns, then states the paid endpoint and price. Every sentence carries necessary information for invoking the tool.

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

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

For a paid external HTTP endpoint with no output schema, the description provides the endpoint, price, and return fields, which is helpful. However, it lacks invocation details such as HTTP method, required request headers or payment flow, and does not clarify how the x402 payment mechanism works. An agent would still need external documentation to actually make 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?

There are zero declared parameters, so baseline is 4. The schema defers to an external OpenAPI contract and allows additional properties, but the description adds no parameter documentation; nevertheless, with no parameters to document, the description does not need to 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 uses a specific verb ('Search') with a clear resource ('current Grants.gov opportunities') and enumerates the returned fields (deadlines, days remaining, agency, status, assistance listing numbers, source links). This clearly differentiates the tool from siblings like federal-grant-detail or grant-opportunity-brief, which are not search/list tools.

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

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

No guidance is given on when to choose this tool over siblings such as federal-grant-detail or grant-eligibility-fit. The description states its basic purpose but does not set exclusions or recommend alternatives, leaving the agent to infer selection criteria.

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?

Annotations already cover readOnly, idempotent, openWorld, and non-destructive behavior. The description adds valuable context beyond those: it is a paid external HTTP endpoint with a specific price and payment mechanism, and it is deterministic. This is meaningful behavioral information an agent needs before invoking.

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

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

Three concise sentences with no filler: the first defines the operation and scope, the second gives the endpoint, and the third gives pricing. Every sentence earns its place and critical details are 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 plus annotations are reasonably complete for an agent: it knows the operation, the check categories, the input cap, the endpoint, and the cost. The linked OpenAPI contract addresses request details, and the description gives enough about the nature of the output, though it could more explicitly state the response format.

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 no defined parameters and points to an external OpenAPI contract, so there is little structured parameter information. The description adds the important constraint 'up to five retrieved Grants.gov notices' and defines what the preflight evaluates, which gives the agent meaningful input semantics beyond the empty 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 uses a specific verb and resource: 'Run deterministic rule-based checks over up to five retrieved Grants.gov notices.' It enumerates the exact check categories, which sharply distinguishes this preflight tool from siblings like federal-grant-detail or federal-grant-search.

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 clearly implies the tool is for a shortlist of retrieved notices and imposes a hard cap of five, so an agent knows when it applies. It does not explicitly name alternatives or exclusion cases, but the context is clear enough for 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?

The description discloses material behavior beyond the annotations: the 1,000-request fair-use limit, client-supplied token with only its SHA-256 hash stored, paid endpoint, and price. These details are highly relevant for an agent deciding whether to invoke a paid activation tool and what side effects to expect.

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?

Four tight sentences convey the action, constraints, security model, endpoint, and price, with the primary verb and resource 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?

The description covers purpose, rate limit, token handling, endpoint, and pricing, and points to an OpenAPI contract for endpoint-specific schema details. It does not describe the success or error response shape, but for a zero-parameter activation tool with a linked contract this is a minor gap.

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

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

The tool has zero parameters and 100% schema description coverage, so there are no parameter semantics for the description to expand. The description still adds relevant invocation context by mentioning that the client supplies its own random token.

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 action and target: 'Activate 30 days of bearer-token access to every Genuine Good Grants API tool.' It is clearly differentiated from the sibling federal-grant tools, which perform search/detail operations rather than access activation.

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 paid endpoint, activation behavior, and fair-use limit make it clear that this tool is for obtaining API access before using the grant tools. However, it never explicitly states when not to use it or names alternatives, so the routing guidance is clear but not fully explicit.

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

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

The description adds important behavioral details beyond the annotations: it is a paid endpoint costing $5.00 USDC via x402 on Base, it provides transparent ranking signals, and it returns reasons and official records. These cost and payment traits are not present in the annotations, and they materially affect an agent's decision to call the 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?

The description is two sentences with no filler: the first sentence states the core function and outputs, the second gives endpoint and pricing. Key facts are front-loaded and every sentence adds value.

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 paid external API with no output schema, the description covers the essential operational context: purpose, endpoint URL, cost, payment method, and what the tool returns. It does not fully specify the request format or authentication, but it references an OpenAPI contract, so the core usage information is sufficient for an agent to proceed.

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 defines zero parameters, so the baseline is 4. The description still hints at the operational inputs by mentioning 'keyword, deadline, and applicant-type signals,' which helps an agent understand what a request likely contains. It points to an OpenAPI contract for the exact schema rather than documenting parameters inline, which is reasonable given no explicit schema params 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 uses a specific verb ('Rank') and names the resource: 'current U.S. federal opportunities against a mission profile.' It also lists the matching signals and return content ('returns reasons and official records'), making the tool's function clear. It does not explicitly distinguish itself from sibling tools, but the 'transparent keyword, deadline, and applicant-type signals' phrasing differentiates it from simple detail/brief lookups.

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: when an agent needs to prioritize or rank federal grants by fit to a mission profile. However, it never explicitly states when not to use it, nor does it mention alternative sibling tools or conditions for choosing them. The usage context is understandable but left to inference.

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

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

The description adds material behavioral context beyond the annotations by disclosing that this is a paid HTTP endpoint at a specific URL with a $5.00 USDC price via x402. It also conveys output limits ('up to ten') and that results are 'sourced' and 'current,' which the read-only and idempotent annotations do not capture.

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

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

The description is two tightly packed sentences with no filler: the first states the deliverable and content, the second gives the endpoint and pricing. Every sentence earns its place and the most important information 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 lists the output contents and provides endpoint and pricing, which is helpful for a zero-parameter tool. However, there is no output schema, and the description does not specify the HTTP method, response format, or authentication/payment flow beyond the price. It also references a 'linked OpenAPI contract' that is not actually included, leaving some invocation details unresolved.

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

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

With zero parameters, the description has no parameter semantics to add, and the baseline of 4 applies. The input schema's reference to a 'linked OpenAPI contract' is vague, but because there are no required parameters, the description does not need to compensate for missing parameter documentation.

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

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

The description uses a specific verb ('Produce') and a concrete deliverable ('agent-ready brief of up to ten current U.S. federal grant matches'), and lists the key content areas. This clearly differentiates it from siblings like federal-grant-search or federal-grant-detail, which focus on searching or individual grant detail.

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 guidance on when to choose this tool over the sibling tools, nor does it state exclusions or prerequisites. The intended usage is only implied by the word 'brief' rather than explicitly stated.

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