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

Annotations already declare readOnlyHint=true and openWorldHint=false. The description adds useful behavioral context beyond that: daily refresh, API key requirement, and queuing behavior for untracked pages. No contradictions 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?

Four short sentences, front-loaded with the tool's purpose and key behaviors. No wasted words, though parentheticals add slight density. Well-structured for quick scanning.

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?

Covers the source, freshness, and auth requirement, but omits return format, pagination details (limit/offset behavior), and filtering specifics for q and since. For a 5-parameter tool with no output schema, more context would be needed to fully aid correct invocation.

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 40%, so the description must compensate. It adds meaning for the url parameter (pass url= for one page, untracked pages queued) but leaves q, since, limit, and offset unexplained beyond their schema types and defaults. Partial compensation only.

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 resource (AI & SaaS pricing page snapshots) and source (public pricing pages), making the tool's data clear. However, it does not explicitly distinguish itself from the sibling get_llm_pricing, which likely covers overlapping pricing data, so an agent might hesitate between them.

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?

Provides a specific usage instruction for the url parameter (pass url= for one pricing page), which is helpful. But it gives no guidance on when to use this tool versus alternatives like get_llm_pricing, nor any exclusions or contextual triggers.

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