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CassiaResearch

Aircall MCP Server

aircall_get_playbook_result

Read-only

Retrieve a call's playbook result, including overall adherence score and per-topic results, to evaluate call compliance and topic coverage.

Instructions

Get the playbook result for a call, including adherence score and per-topic results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
call_idYesThe call ID
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the agent knows this is a safe read operation. The description adds some value by mentioning 'adherence score and per-topic results,' which hints at the return contents, but it does not disclose any further behavioral traits such as required permissions or response format. This is consistent with the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence that is front-loaded with the verb and resource. It contains no filler, repetition, or unnecessary detail. Every word contributes to understanding the tool's purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity—one parameter, no output schema, and read-only annotations—the description provides enough context to understand what it does. It mentions the key deliverables (adherence score and per-topic results) but does not specify the exact structure of the response or potential edge cases. For a straightforward getter, this is nearly complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with the parameter call_id having a description ('The call ID'). The description itself adds nothing beyond what the schema already provides, so the baseline of 3 for full schema coverage applies. No additional meaning is given to the parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: 'Get the playbook result for a call, including adherence score and per-topic results.' The verb 'Get' is specific, and the resource 'playbook result' distinguishes it from related sibling tools like get_sentiments or get_summary. The scope is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied by the clear resource name—if an agent needs playbook results for a call, this is the tool. However, there is no explicit guidance on when to use this tool versus alternatives, nor any mention of exclusions or prerequisites. The description does not differentiate from potentially similar tools beyond naming the resource.

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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