JPFreeSoft Catalog

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

Annotations already declare read-only, idempotent, closed-world, non-destructive behavior, so the safety profile is covered. The description adds genuine value beyond that: missing fields return null, content is bounded plain text, and external links are not followed.

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 tight sentences, front-loaded with the core action and inputs, then return contents, then scope exclusions. No filler.

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

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

With no output schema, the description responsibly summarizes the returned payload (facts, source URL, official/download links, bounded text) and null semantics, and clarifies negative scope. 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%, so the description must carry parameter meaning. It usefully states that type and slug come from search_catalog, but never explains the type enum values (software, ai_tool) or the slug format constraints present in the schema. Partial compensation only.

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 (Read) and resource (a published catalog entry) and ties the required inputs to their origin in search_catalog, cleanly separating it from its only sibling. An agent knows exactly what it retrieves without opening the schema.

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?

Implies the correct workflow by instructing use of the type and slug from search_catalog, and rules out two tempting-but-wrong actions ('does not fetch external links or install software'). No explicit when-not scenario, 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?

Annotations already cover readOnly/idempotent/non-destructive, but the description adds real behavioral context: exact-match filters exclude unknown values, results carry source URLs and unconfirmed fields, output is not ranked, and pagination is offset-based with a 10-result ceiling. That goes meaningfully beyond the annotation set.

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 compact sentences, each carrying distinct information (scope, filter semantics, return caveats, result limits), with the scope statement front-loaded. Dense but not padded.

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 9-param read-only search with no output schema, the description covers types, filter exactness, result nature (URLs, unconfirmed fields, unranked), and pagination limits. The main omission is routing guidance relative to the sibling 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?

With 56% schema coverage across 9 params, the description adds a useful model by separating 'keywords' (query) from 'explicit facts' (exact filters) and restating the unknown-value exclusion rule. It still leaves platform and category semantics to the schema and largely restates what individual property descriptions already say for free_plan/account_needed/japanese_support.

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 (Search) and resource (published JPFreeSoft entries), plus the searchable types (software, ai_tool). It does not explicitly distinguish itself from the sibling get_catalog_entry, so an agent must infer that this tool searches while the sibling fetches a single entry.

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 useful context cues ('exact filters exclude unknown values', 'results are not ranked recommendations'), which imply this is a lookup tool rather than a recommender. However, it never names get_catalog_entry or states when to use search versus fetching a specific entry.

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