Skip to main content
Glama
CassiaResearch

Aircall MCP Server

aircall_get_action_items

Read-only

Retrieve AI-detected action items from a call to identify next steps and follow-ups without manual review.

Instructions

Get AI-detected action items from 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, so the agent knows this is a safe read operation. The description adds that action items are AI-detected, but does not disclose return format, pagination, or any behavioral peculiarities. No contradiction with 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, front-loaded sentence with no unnecessary words. It efficiently conveys the tool's purpose without repetition or filler.

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 low complexity (one parameter, no output schema, no nested objects), the description is nearly complete for basic use. It fails to clarify what 'action items' are or what the response looks like, but this is a minor gap for a simple getter.

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 description coverage is 100% for the single call_id parameter, with the description 'The call ID.' The tool description adds no extra semantics beyond reiterating the call context, so it aligns with the baseline for high schema coverage.

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 gets 'AI-detected action items from a call,' with a specific verb and resource. This distinguishes it from sibling tools like get_summary or get_sentiments, all of which have different focus areas.

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?

No guidance is provided on when to use this tool versus alternatives. The description only states the basic function without any contextual cues, exclusions, or mention of alternative tools.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/CassiaResearch/aircall-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server