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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds genuinely useful behavioral context beyond that: the complete field set returned and the sentinel convention that 'undisclosed values say "not disclosed"', which tells the agent how to interpret missing data rather than treat it as an error.

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?

Two tight sentences, front-loaded with the scope ('All tracked AI coding tools ... with every plan') before the field enumeration, and the data-quality convention is placed last where it belongs. Every clause carries information; nothing is padded.

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, the description carries the return-value burden and does so well by naming the fields and the 'not disclosed' convention, and 'every plan' implies a complete unpaginated catalog consistent with openWorldHint=false. Minor residual gaps (exact result shape, any ordering or size limits) remain unstated.

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 tool takes zero parameters, so per the rubric the baseline is 4. There is no parameter surface for the description to clarify, and it correctly spends no words on inputs.

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 ('List all tracked AI coding tools ... with every plan') and enumerates exactly what fields come back (price, usage limits, window, models, source URL, checked date). It distinguishes itself implicitly as the full-catalog dump, though it never names the sibling get_tool_plans, which an agent would reasonably confuse it with.

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?

Usage is only implied: 'All tracked ... with every plan' suggests this is the bulk-retrieval tool rather than a single-tool lookup or a recommendation. There is no explicit when-to-use, when-not-to-use, or reference to get_tool_plans/recommend_plan as alternatives, leaving routing to inference.

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