extract_idea_landscape

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

Annotations already cover readOnly and openWorld hints. The description adds that it 'simultaneously queries 6 sources' and 'returns a unified report', giving useful behavioral context without contradicting the 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?

The description is long but well-organized, starting with purpose, listing questions, then detailing each source and ending with the return type. The verbosity adds valuable information rather than 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 provided, the description only says 'returns a unified 6-source idea validation report' without specifying the report's structure, scoring, or fields. While adequate for an overview, it lacks detail that would help an agent 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 idea parameter is well described with examples, and min_freshness_score has a clear filter explanation. However, max_length is only given a default with no description of its effect or units, leaving a gap in schema coverage.

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 that this is a composite tool for idea validation, listing the specific questions it answers and the 6 sources it queries. It is easily distinguished from sibling tools that target individual sources.

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 use for idea validation across multiple sources, contrasting with single-source sibling tools. It does not explicitly state when not to use it, but the composite nature and source list make the intended use clear.

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