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 discloses the billing model (per item, no free tier, no x402), the auth prerequisite, and the exact failure mode (HTTP 402 with signup and credit-pack details). It omits what happens on partial failures within a batch and whether the call is read-only/idempotent, which keeps it from a 5.

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

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

Two sentences, zero waste, with the capability and the batch limit front-loaded and the cost/auth/error caveats following. Every clause carries information an agent needs before calling.

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?

Covers what the tool does, the batch ceiling, the paid-access requirement, and the 402 failure path, and summarizes the return shape despite there being no output schema. It would be stronger if it characterized the per-item status values or partial-failure semantics for a 500-item batch.

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

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

Schema coverage is 100% and there is a single parameter with an inline example, so the schema already does the work. The description only restates the 500-item cap already encoded as maxItems; it adds no meaning about the product/version string formats or limits beyond the schema.

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

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

States a specific verb+resource (checks product versions) with the batch scope (up to 500 in one call) and the return shape (per-item status plus counts). It does not explicitly name fips_lookup as the single-item alternative, so the differentiation from siblings is only implicit.

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 conveys that this is the bulk path and that it requires a prepaid key with per-item billing, which implicitly routes single lookups elsewhere. But it never states when to prefer fips_lookup, fips_list_products, or fips_expiring over this tool, and no explicit exclusions are given.

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 must carry the behavioral burden. It does disclose that the tool is free and implies a read-only listing operation, but it does not state authentication needs, rate limits, pagination behavior, or whether results include already-expired certificates.

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 short clauses, front-loads the operation and scope, and contains no wasted language. The one-word pricing note is useful context rather than padding.

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 optional-parameter list tool with no output schema, the description covers what it does, the default window, and the 'free' trait. It could be more complete by clarifying what 'covered' means and how results are ordered, but nothing essential for invocation 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 coverage is 100%, and the input schema already documents the single 'within' parameter with its range and default of 180. The description repeats the default but adds no additional formatting or semantic detail beyond what the schema provides.

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: it lists covered product versions whose FIPS certificates sunset within a given day window. This clearly separates it in spirit from a general product list, but it does not explicitly name or distinguish itself from sibling tools like fips_list_products.

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 context is clear enough: use it when you need to find certificates sunsetting soon. However, the description gives no explicit when-not-to-use guidance and does not point to alternatives such as fips_list_products for full inventory or fips_lookup for a specific certificate.

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 must carry the behavioral burden, and it partially does: "Free" discloses cost, "lists" implies a read-only enumeration, and the return contents are enumerated. It omits any statement about permissions/auth requirements, listing size, or pagination behavior for what could be a large catalog, so the safety profile is inferred rather than declared.

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

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

Two short sentences, zero waste. Cost and scope come first, then the call-to-action routing to fips_lookup, so the most decision-relevant 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?

No output schema exists, yet the description compensates by naming the record fields (vendor, product, aliases, versions). Combined with the explicit prerequisite relationship to fips_lookup, an agent has everything needed to call this correctly and interpret the result.

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 takes zero parameters, so there is nothing for the description to disambiguate; baseline for a parameterless tool is 4. The description correctly implies a single unfiltered enumeration with no filter arguments to explain.

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

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

States a specific verb (lists) plus the resource (products and versions covered by ScoutWyze FIPS) and enumerates the fields returned: vendor, product, aliases, versions. It also distinguishes itself from the sibling fips_lookup by positioning itself as the prerequisite discovery step.

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?

"Call this first to pick exact product and version names for fips_lookup" gives an explicit sequencing rule and names the alternative it feeds, which is unusually actionable. It does not mention the other siblings (fips_expiring, fips_batch) or any case where this call should be skipped, so it stops short of a full when/when-not treatment.

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

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

With no annotations, the description carries the full burden and does so: fail-closed behavior (UNVERIFIED rather than ACTIVE when data is stale), the rate limit and prepaid-credit model, the exact 402/x402 USDC-on-Base challenge and X-PAYMENT retry contract, the statement that the server itself cannot pay, and that 404s are free. It also discloses what the response includes (certificates, sunset dates, PQC algorithms, receipt links) and a legal-advice disclaimer.

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?

Front-loads the core purpose and return values, then layers on the payment and failure semantics. Dense but nearly every clause earns its place; the x402 paragraph is long but is genuinely load-bearing for an agent that hits a 402.

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?

No output schema exists, yet the description enumerates the possible status values and the fields returned, plus the failure modes (402, 404) and their remedies. Nothing an agent needs in order to call this correctly or interpret a non-200 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 coverage is 100% and both parameters carry examples, so the schema does the heavy lifting. The description adds only the notion of a single product-version pair and does not elaborate on alias matching or version-format tolerance beyond what the schema already shows.

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

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

States a specific verb and resource — 'Returns the FIPS 140-3 status of one product version from NIST CMVP data' — and enumerates the exact return statuses, so the agent knows what comes back. The 'one product version' scope implicitly separates it from fips_batch and fips_list_products, which operate over sets.

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?

Gives clear operational context: free lookups per day, API-key/credit path, 402 x402 payment retry flow, and that unmapped products return 404 with the known list (pointing toward fips_list_products). It never explicitly names fips_batch or fips_expiring as the alternative for multi-product or sunset-focused queries, so routing between siblings is left to inference.

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