md_search_public_model_evidence

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

With no annotations, the description carries the full burden. It does disclose the key safety behavior of requiring explicit network opt-in, which is valuable. However, it does not explain other behavioral aspects such as dry-run semantics, confirmation token flow, or any potential side effects, leaving significant gaps.

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

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

The description is a single sentence with no redundant words. It front-loads the core action and key condition, making it highly concise while conveying essential purpose.

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 6 parameters and no annotations, the one-sentence description is too sparse. It omits how the confirmation token works, the role of dry_run, and any provider constraints beyond 'fixed-provider'. Although an output schema exists, parameter semantics remain under-specified, making the tool hard to use 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 adds meaning for 'provider' (fixed to PubChem/Crossref) and the network opt-in requirement, but leaves confirmation_token, max_results, and dry_run unexplained. This is insufficient given the complete lack of schema 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 states the tool reads PubChem/Crossref metadata, with a specific action ('Read') and resource. The 'fixed-provider' qualifier and explicit network opt-in condition distinguish it from sibling tools like ms_search_local_help, which focus on local resources.

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 no explicit guidance on when to use this tool versus alternatives. It implies external metadata retrieval but never names alternative tools or conditions beyond the network opt-in, leaving usage context largely implicit.

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