Summarize

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

The description adds a valuable behavioral detail beyond the annotations: it costs account credits. It also discloses the output components (summary, key points, action items). This is useful context and does not contradict any annotation.

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?

The description is two short, front-loaded sentences with no filler. The core transformation appears first, and the cost warning earns its place as the second sentence.

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 and no parameter descriptions, the tool is under-specified: length behavior, actionItems semantics, and return format are all missing. The cost disclosure is helpful but does not make the tool fully actionable.

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 0%, and the description only partially clarifies the 'text' parameter by listing accepted inputs. The 'length' enum and 'actionItems' boolean are left entirely unexplained, so an agent must guess their behavior.

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 transformation arrow makes it immediately clear the tool converts meeting transcripts, threads, or reports into a summary with key points and action items. It is distinct from the parserail siblings, though it lacks an explicit verb and does not name an alternative.

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?

Listing specific input types (meeting transcript, thread, report) gives an agent clear context for when the tool is relevant. It does not state exclusions or name alternative tools, so it stops short of full routing guidance.

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