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MisarReach MCP Server

get_sales_agent_actions

Read-onlyIdempotent

Get what the AI sales agent has done today, with summary stats — actions taken, deals created, replies sent.

This is the audit trail: use it to see what the agent did on the account's behalf, and to sanity-check its behaviour after enabling it. Covers TODAY only, so it is not the tool for historical reporting.

Reads only and changes nothing; it does not approve or undo any action. Requires an API key. No actions today is a normal answer, not an error.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnly, non-destructive, idempotent. The description reinforces 'Reads only and changes nothing; it does not approve or undo any action' and adds beyond annotations: requires an API key, and that 'no actions today' is a normal response — useful for setting expectations. This adds contextual value without contradicting 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 three sentences: first conveys the core purpose, second explains usage context and scope limit, third clarifies read-only behavior, API key requirement, and empty-result handling. Every sentence adds value, with no redundancy.

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

Completeness5/5

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

Despite having no parameters or output schema, the description thoroughly covers purpose, scope (today only), safety (read-only, doesn't approve/undo), authentication requirement, and expected behavior (no actions is normal). It is fully self-contained for an agent to invoke correctly.

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

Parameters4/5

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

The tool has zero parameters, so per rubric the baseline is 4. The description adds no parameter details (none needed), and even clarifies scope ('today only'), which is effectively the parameter context since there is no schema.

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 a specific verb and resource: 'Get what the AI sales agent has done today' — an audit trail of agent actions. It distinguishes itself from sibling tools like list_deals or get_autopilot_status by focusing on the agent's activity trail, not on pipeline data or system status.

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

Usage Guidelines4/5

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

It explicitly says when to use it ('to see what the agent did', 'to sanity-check its behaviour after enabling it') and gives a clear limitation: 'Covers TODAY only, so it is not the tool for historical reporting.' This gives strong context, though it doesn't name a specific alternative tool for historical queries.

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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