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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint=false and destructiveHint=false, so the safety profile needs no restating. The description contributes the content of the response (three counts plus last-modified time), which matters because there is no output schema, but it says nothing about units, scoping (e.g. whether counts are global or filtered) or formatting.

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 sentence with no filler that front-loads the primary output (the counts) and appends the freshness signal. Nothing is redundant with the title or annotations.

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 zero-parameter read tool with no output schema, the description adequately covers what comes back: three counts and a last-changed timestamp. Minor gaps remain around the response shape and whether counts are global, but an agent has enough to call it correctly.

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 the baseline is 4 and the description has no parameter semantics to carry. It correctly implies the call is argument-free and touches on what scope of data is summarized.

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 verb (get) and specific resources (counts of published sprinkler contractors, places, categories, plus last-changed timestamp). That makes its aggregate/statistical nature obvious next to the listing-oriented siblings, though it never explicitly contrasts itself with list_places or list_categories.

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 implied rather than stated: an agent can infer this is the tool for counts and freshness instead of enumerating results via list_* tools. There is no explicit when-to-use or when-not-to-use statement, and no mention of caching or refresh behavior for the last-changed value.

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