Boardroom Revenue Control

Leads without a follow-up task

crm_leads_without_task

Read-onlyIdempotent

Open leads with no unfinished task against them — the follow-up leak. Sorted by idle time, longest first. Idle days are counted in Asia/Dubai. [scope: crm:read]

Input Schema

Name	Required	Description	Default
`limit`	No	Maximum number of rows to return.

Output Schema

Name	Required	Description
`ok`	No	False when the call was refused or failed; see error.
`error`	No	Machine-readable refusal code (a string), present only when ok is false.
`message`	No	Human-readable explanation of a refusal (a string).

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedOct 9, 2026

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "additionalProperties": true,
+  "properties": {
+    "error": {
+      "description": "Machine-readable refusal code (a string), present only when ok is false."
+    },
+    "message": {
+      "description": "Human-readable explanation of a refusal (a string)."
+    },
+    "ok": {
+      "description": "False when the call was refused or failed; see error.",
+      "type": "boolean"
+    }
+  },
+  "type": "object"
+}

Changed1 schema field changedOct 9, 2026
- addedInput schema / properties / limit / description
```
Added value: +"Maximum number of rows to return."
```
First observedOct 9, 2026

TDQS

A4.1/5.0

Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), so the bar is lower. The description adds genuine behavioral context beyond that: results are sorted by idle time (longest first) and idle days are computed in Asia/Dubai, plus the crm:read scope requirement.

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?

Two tight sentences plus a scope tag, front-loaded with the filter definition and followed by sort/timezone semantics. No sentence is wasted.

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?

An output schema exists, so return values needn't be explained. The description fully covers the filter semantics, sort order, timezone, and required scope, leaving nothing an agent needs to call it correctly.

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% and the single 'limit' parameter is fully documented with default, min, and max, so the baseline is 3. The description adds no additional meaning about 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?

States a precise resource subset — 'open leads with no unfinished task against them' — and labels it with an intent-bearing phrase ('the follow-up leak'). This clearly distinguishes it from crm_list_leads, which returns all leads without the missing-task filter.

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?

The purpose implies the use case (surfacing neglected leads) but never states when to choose this over crm_list_leads or crm_pipeline_overview, nor any exclusions. Usage is left to inference rather than made explicit.

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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