Meeting minutes

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

Beyond annotations, the description discloses that the operation consumes wallet credits, a non-obvious side effect not visible in readOnlyHint/destructiveHint. It also gives a compact picture of the output content, though it does not cover failure modes or prerequisites.

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?

Two short sentences provide the core behavior and a cost warning with no filler. The output components are listed compactly and the credit-cost note is separated into its own 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, the description compensates by naming the output sections, and it flags the wallet-cost behavior. The main missing piece is the meaning/usage of the optional `attendees` input, but the required path is clear enough for correct invocation.

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 coverage is only 50%: the optional `attendees` parameter has no schema description, and the tool description does not explain how it is used or whether it maps to action-item owners. The description adds no parameter meaning beyond the schema's 'The meeting transcript.'

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 identifies a specific transformation ('meeting transcript → clean minutes') and enumerates recognizable minutes components (summary, decisions, action items with owners, open questions). This clearly separates it from sibling processing tools such as parserail_summarize or parserail_transcribe.

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?

The description implies the use case: pass a meeting transcript to receive minutes. However, it never explicitly says when to prefer this over parserail_summarize or other alternatives, nor does it state exclusions such as 'use parserail_transcribe for audio input.'

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