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CassiaResearch

Aircall MCP Server

aircall_get_summary

Read-only

Retrieve the AI-generated summary for a specific call using its call ID. Get key insights and conversation highlights without reviewing the full recording.

Instructions

Get the AI-generated summary of a call.

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 safety profile is established. The description adds no extra behavioral context (e.g., what format the summary returns, whether the call must be completed, or any processing delays), but it does not contradict the annotations either.

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, focused sentence that immediately conveys the core purpose. It is concise without being under-specified, containing no filler or redundant information.

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), the description adequately covers the essential information. It clearly identifies the operation and resource, though it could briefly mention return value characteristics to be fully complete in the absence of an output schema.

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?

The schema provides full coverage for the single parameter (call_id) with a clear description ('The call ID'). The tool description adds no additional parameter semantics beyond what the schema already offers, so the baseline of 3 applies.

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: retrieving the AI-generated summary of a call. The qualifier 'AI-generated' distinguishes it from sibling tools like aircall_get_custom_summary or aircall_get_transcript, and the verb+resource structure is specific and unambiguous.

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

Usage Guidelines2/5

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 such as aircall_get_custom_summary or aircall_get_sentiments. There is no mention of prerequisites, typical use cases, or exclusions.

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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