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Glama

0nMCP — Universal AI API Orchestrator

get_pipelines

List all CRM pipelines and stages

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

A3.8/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It merely says 'List all,' which conveys a read action but provides no details about pagination, response structure, safety, or potential performance implications.

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?

A single, concise sentence conveys the entire purpose without any unnecessary words or repetition. It is front-loaded with the action and resource.

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?

For a zero-parameter listing tool, the description is adequately complete: no input schema parameters exist and the return content is implicitly clear ('pipelines and stages'). However, the lack of an output schema and any behavioral notes slightly limits completeness.

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 there are no parameter semantics to explain. The description correctly omits parameter details, and the schema trivially covers 100% of parameters (none exist). A baseline of 4 is appropriate.

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 action (List) and the resource (CRM pipelines and stages). It is specific and distinguishes itself from sibling tools by focusing on pipelines, which no other sibling mentions.

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 use case is implied by the purpose—one would call this to see all pipelines and stages—but there is no explicit guidance on when to use it versus alternatives or mention of downstream uses such as retrieving pipeline IDs for opportunity-related operations.

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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TDQS

B3.1/5.0
Disambiguation4/5

Most tools have distinct actions (create/get/update/search for contacts, opportunities, etc.). However, send_email overlaps with send_message which explicitly supports email, and verify_service is an outlier unrelated to the CRM-focused tools.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern in snake_case (e.g., create_contact, get_pipelines, send_message). The naming is predictable and uniform across the entire set.

Tool Count3/5

17 tools is at the heavy end for a CRM-focused server, and the 'Universal AI API Orchestrator' name suggests broader capabilities than the actual tool set. The count is not extreme but feels slightly over-scoped for what is offered.

Completeness3/5

Contact and opportunity management cover create/read/update/search with additional note/tag features, but there are no delete operations for contacts or opportunities, and appointment creation is missing. The verify_service tool adds an unrelated capability, leaving some CRM lifecycle gaps.

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