uri_kind_stats

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

No annotations are provided, so the description carries the full behavioral burden. It adds useful context by disclosing 'all computed locally' and listing the output metrics, which goes beyond the name. However, it does not disclose behavior on invalid or malformed URIs, what 'form' versus 'kind' means, or how the 500-item limit is handled — significant gaps for a tool with zero annotation coverage.

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 front-loaded sentence: the main clause states action and resource, the colon list enumerates outputs, and the em-dash clause adds the local-computation behavior. Roughly twenty words with no filler; every element earns its place.

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 simple one-parameter local computation tool, the description is mostly adequate: it names the inputs and the full set of computed metrics. But with no output schema and no annotations, it should clarify what 'form' and 'kind' denote and how invalid URIs are treated. The lack of disambiguation from very similar siblings also leaves the context incomplete for an agent navigating the large URI-utility cluster.

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 the schema already documents the single 'uris' parameter (albeit weakly as 'References to profile'). Per baseline, this earns a 3. The description adds the framing that these are 'Spotify references' and clarifies what analysis is performed on them, but it does not specify expected URI formats or edge-case constraints beyond what the schema provides.

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 ('Aggregate statistics'), a clear resource ('a batch of Spotify references'), and enumerates the exact computed outputs (counts per form, per kind, share percentages, modal kind). It is clear on its own, but it does not explicitly distinguish itself from close siblings like count_uris_by_type, classify_spotify_uris, or uri_namespace_census.

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?

No guidance on when to use this tool versus alternatives. The description never names a sibling or states a selection condition, which matters given the dense cluster of URI-analysis tools in the sibling list (count_uris_by_type, parse_spotify_uri, classify_spotify_uris, uri_namespace_census). The only hint is 'computed locally,' which implies no network dependency but does not route the agent.

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