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

Annotations only cover safety (readOnlyHint, openWorldHint), so the description carries extra burden. It discloses the paid cost ($0.001, x402) and that numeric constraints are matched against extracted values/ranges/tolerances/units — useful behavioral context not present in any structured field. No contradiction 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?

Three short, front-loaded sentences with no filler; the core search capability leads and cost/payment mode is a terse trailing note. Slightly clipped (the x402 mention is bare), but efficient overall.

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, so the description could reasonably explain result shape, but it does not. It covers search scope and pricing adequately, yet leaves the query_specs disambiguation and return format unaddressed for a 5-parameter search 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?

Schema description coverage is 100%, so the baseline is 3. The description only adds semantics for the query parameter (numeric constraint matching), saying nothing about limit, topic, category, or year_from, which remain defined solely by 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 ('full-text search over abstracts and full texts') and adds a distinguishing scope detail: extracted technical specifications and numeric-constraint matching. However, it does not differentiate itself from the sibling query_specs, which appears to be the closest functional neighbor, so sibling-level ambiguity remains.

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 implies search usage ('Numeric constraints like "50 Nm" are matched') but never states when to prefer this over query_specs, get_fulltext, or get_document, nor any prerequisites or exclusions. With a near-identical sibling name in the toolset, the absence of routing guidance is a real gap.

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