get_stats

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

With no annotations, the description carries the full burden, and it does disclose that the response is aggregate counts plus the tags/categories currently in use — useful since no output schema exists. However, it says nothing about scope (all users vs. current user/workspace), permissions, or freshness/rate limits. For a low-risk read tool the omission is tolerable but not thorough.

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?

A single compact clause with no filler, front-loaded on what is counted. It is a noun phrase rather than a full sentence, which slightly reduces clarity about the action, but nothing is wasted.

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 annotations and no output schema, the description is the only source of information about the response, yet it only gestures at 'counts, tags, categories' without shape, naming, or scope. Given the tool's whole value is the data it returns, this is thin; a sentence on the structure and scope of the stats would be needed to be complete.

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 takes zero parameters, so there is nothing for the description to explain and the baseline is 4. No parameter-related confusion is possible here.

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 names a specific resource (counts of prompts and templates) and even the dimensions it aggregates (tags, categories in use), so an agent knows this is an aggregate-stats endpoint rather than a record fetch. It does not explicitly contrast itself with siblings like list_prompts, though the name makes the distinction fairly obvious. Clear verb-of-sorts plus resource, no real sibling differentiation text.

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?

There is no when-to-use guidance, no mention of alternatives, and no exclusions. The agent must infer from the name that this is the aggregate-counts call and that list_prompts should be used for actual records. No conditional or routing information is provided.

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