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

With no annotations present, the description carries the full burden and delivers useful behavioral facts: results are ordered newest-first, each item exposes a slug, and URLs follow a known pattern. It does not mention pagination behavior or any auth/permission requirements, so it stops short of full disclosure.

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 sentences, all front-loaded: usage trigger first, then filtering and ordering, then the return/URL shape. No sentence is redundant and the most decision-relevant information leads.

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 3-parameter, zero-required list tool with no output schema, the description covers the usage trigger, the filters, ordering, and the shape of returned items plus a usable URL pattern. Nothing an agent needs to select or invoke 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 100%, so the schema already documents limit, industry, and target_role in detail. The description only restates the two filters ('Filter by industry or target_role') without adding syntax or format detail beyond the schema, matching the baseline 3.

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 precise verb+resource ('browse or discover published competitive-intelligence reports') and scopes it as list/browse behavior. It explicitly contrasts itself with fetching 'one specific report by slug', which maps directly to the sibling get_report.

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 opening 'Use when the user wants to browse or discover... rather than fetch one specific report by slug' gives an explicit when-to-use and when-not-to-use, and names the alternative tool (get_report) that handles the excluded case.

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