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

With no annotations, the description must disclose behavioral traits. It mentions 'deep, cited' (indicating comprehensive output with references) and pay-per-use pricing, but it does not describe the output format, the exact behavior when input is omitted, or any limitations. Critically, it states 'input=optional scope' while the input schema marks input as required, which is a direct contradiction that undermines behavioral transparency. Thus, the description provides insufficient and inconsistent behavioral information.

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 concise, consisting of a few short sentences. It is reasonably front-loaded with the core purpose ('INDUSTRY REPORT') and includes additional context like target audience and pricing. While the inclusion of pricing and the cryptic 'input=optional scope' add some noise, the overall length is appropriate and the key information is presented early. I give it 4 for being efficient but not perfectly structured.

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 one parameter and no output schema, the description should clarify what the input means and what the output will look like. It only vaguely mentions 'input=optional scope' and says the report is 'deep, cited,' but does not describe the report's structure, length, format, or how to interpret the result. The contradiction about optionality further confuses. This is a significant gap for an agent needing to call the tool correctly, so it scores 2.

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 schema description for the only parameter is generic ('service input'), so the description must add meaning. It does clarify that input is meant to specify 'scope' and suggests it is optional. However, this directly conflicts with the schema's required flag, making the parameter semantics misleading. The description adds minimal value and introduces a contradiction, so it scores 2.

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's purpose: it produces an industry report on the AI agents market 2026, described as 'deep, cited.' It mentions the target audience (VCs and strategy teams) and the B2B context, which makes the intent clear. However, it does not explicitly differentiate from sibling market report tools (e.g., agtech-market, market-research-report), so it loses a point for lack of explicit sibling distinction.

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 some usage context by stating 'B2B: VCs and strategy teams size the AI agents market,' which suggests when the tool is relevant. However, it does not explicitly state when to use this tool versus alternatives, nor does it mention exclusions or alternative tools. The guidance is implied rather than explicit, so it scores 3.

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