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Pipeline Item Read Tool

pipeline-item-read
Read-only

List or show accessible pipeline cards with filtering, sorting and pagination. Item types in filters accept user, company or order.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number for "list". Default 1.
sortNoSort fields for "list". Append :asc or :desc for direction (default :asc). Example: ["created_at:desc"]. Available fields: pipeline_id, pipeline_stage_id, itemable_type, itemable_id.
limitNoResults per page for "list". Default 20, max 100.
actionYesAction to perform.
filtersNoPurity filter object for "list". Keys are field names, values are operator objects. Example: {"status":{"$eq":1}}. Available fields: pipeline_id, pipeline_stage_id, itemable_type, itemable_id.
pipeline_item_idNoPipeline item id. Required for "show", "remove", and "move".

Schema Changelog

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

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds the word 'accessible', implying permission-scoped results, and clarifies allowed item types in filters. These are useful but modest additions; it does not disclose return format or pagination behavior beyond what schema provides.

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 sentence conveys the core purpose and the most important filter nuance. It is front-loaded with the verb and resource, and every phrase earns its place with no redundancy.

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

Completeness3/5

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

The tool has 6 parameters and a nested filters object, but the schema is rich enough to carry most details. The description omits the distinction between list and show and the requirement for pipeline_item_id in show, both of which are in the schema. Given no output schema, some return-format guidance could help, but the description is adequate for basic invocation.

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%, so parameters are already documented. The description adds one meaningful detail: that item types in filters accept user, company, or order, which clarifies the filter values for itemable_type. This is a small increment over the schema, keeping it at baseline 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb+resource ('List or show accessible pipeline cards') and mentions key capabilities (filtering, sorting, pagination). It does not explicitly distinguish itself from sibling read tools like pipeline-read, but the name and phrasing make the target resource 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?

No guidance on when to use this tool versus alternatives. It does not mention pipeline-item-write for mutations or pipeline-read for pipeline-level reads. The description implies a read operation but offers no exclusions or alternate routes.

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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