list_review_notes
Fetch review notes for an accounting engagement to access auditor feedback and outstanding issues.
Instructions
Read the review notes on an engagement
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| engagement_id | Yes |
Fetch review notes for an accounting engagement to access auditor feedback and outstanding issues.
Read the review notes on an engagement
| Name | Required | Description | Default |
|---|---|---|---|
| engagement_id | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
v0.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It indicates a read operation, but does not disclose ordering, pagination, permission needs, error behavior, or what happens with empty results. This is minimal and leaves the agent with limited expectations.
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 a single sentence with no filler. The verb and object are front-loaded, and every word contributes to the meaning. It could not be meaningfully shorter without losing information.
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 one-parameter read tool, the description is minimally viable: it states the action and target object. However, with no annotations, no output schema, and no behavioral details, an agent is left without information about return format, ordering, or edge cases. It is adequate but not complete.
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%, so the description needs to compensate for the engagement_id parameter. It only says 'on an engagement,' which weakly ties the parameter to the resource, but it does not explicitly explain what engagement_id is, its format, or its role in the request. This is insufficient for a parameter with no schema-level documentation.
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 uses a specific verb ('Read') and a clear resource ('review notes on an engagement'), so the core purpose is unambiguous. It does not explicitly differentiate from sibling tools, but the operation is distinct enough from list_engagements, get_trial_balance, and propose_adjustment.
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 provides no guidance on when to use this tool versus alternatives. There is no discussion of prerequisites, when to prefer it over another tool, or when not to use it. The engagement context is implied but no explicit routing is given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/coalesc/papers'
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