session_overview

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

With no annotations and no output schema, the description carries the full burden, and it does disclose the shape of the returned data (which counts and fields appear). However, it says nothing about format, whether the call is cheap/safe, or how counts relate to the detailed sibling tools, so behavioral context remains thin.

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?

One short line, front-loaded with the category ('Session metadata') followed by the field list; every token carries information. The fragmentary style (no verb, colon-heavy) is slightly less readable than a full sentence but wastes nothing.

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 gives an adequate inventory of returned fields, which is the main thing an agent needs. It omits anything about value types, ordering, or how the counts should be used, so it is sufficient to select but only roughly sufficient to interpret.

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 there is nothing for the description to disambiguate — baseline 4 applies. No misleading parameter claims are made.

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 enumerates the concrete payload — app URL, duration, counts of says/marks/errors/requests, file list — which tells an agent this is an aggregate metadata summary rather than a raw-record fetch. That enumeration usefully separates it from siblings like get_errors or list_says, which return one category in detail. It falls short of a 5 because it is a noun phrase with no verb, leaving the action ('returns'/'summarizes') implicit.

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 statement of when to call this versus the many sibling tools; an agent must infer that it is a cheap orientation call before drilling into get_errors, list_says, or segment_detail. No prerequisites or exclusions are mentioned.

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