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

Annotations already cover the safety profile (readOnlyHint=true, openWorldHint=false), so the bar is lower; the description still adds real context by disclosing result ordering (newest-first), the shape of each item (carries a slug), and the canonical URL pattern. It stops short of stating a default result count or pagination behavior, which the schema partly covers via the limit parameter.

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?

Four tight sentences, front-loaded with the usage trigger and scoping, then ordering, then chaining guidance, then URL format. The URL sentence is the least essential but still earns a place by letting the agent construct links without a follow-up call.

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 exists, yet the description tells the agent what a returned item contains (a slug) and how to chain to get_report, plus ordering and URL shape. Combined with annotations covering safety and full schema coverage on parameters, an agent has everything needed to call and consume this 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 both filters, the limit bounds, and default are already documented with examples. The description repeats that you can filter by industry or target_role but adds no syntax, matching behavior, or combination semantics beyond the schema, so baseline 3 applies.

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 (browse/discover published competitive-intelligence reports) and immediately delineates scope from the sibling get_report by contrasting 'browse or discover' with 'fetch one specific report by slug'. An agent can route correctly without opening either schema.

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?

Opens with an explicit 'Use when' condition and names the alternative (get_report by slug) plus the disambiguating factor. It also hints at discovery axes (topic, role, industry) that map to the available filters, so the agent knows which call to make and how to narrow it.

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