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Glama

Pipeline Recommendations Tool

pipeline-recommendations
Read-only

Lists persisted pipeline recommendations for the authenticated business without generating, editing, approving, rejecting, or executing them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum recommendations to return.
statusNoRecommendation state; defaults to pending.
action_typeNoOptional exact pipeline recommendation action type.
recommendation_idNoOptional exact recommendation ID.
include_draft_historyNoWhen true, recommendation_id is required and bounded draft edit history is returned.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, lowering the bar. The description adds meaningful context: the recommendations are 'persisted,' scoped to the authenticated business, and no side-effectful operations are performed. This goes beyond the bare annotation.

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, front-loaded sentence that conveys scope, target, and non-behaviors without any fluff. Every word contributes to the agent's understanding.

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 read-only listing tool with fully documented optional parameters and safety annotations, the description is nearly complete. It could be slightly stronger by naming a sibling for mutation flows or describing the result shape, but no output schema makes that less critical.

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?

All five parameters are fully documented in the schema with descriptions and defaults, so the description does not need to repeat them. The description itself says nothing about parameters, which is acceptable because the schema carries the full semantic weight.

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 states a specific verb ('Lists'), a specific resource ('persisted pipeline recommendations'), and a clear scope ('for the authenticated business'). It also explicitly differentiates the tool from any mutation-oriented pipeline tool by listing what it does not do.

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?

The description clearly communicates that this is for read-only listing and explicitly excludes generating, editing, approving, rejecting, or executing recommendations. It does not name a specific alternative tool, but the context makes when-to-use reasonably clear.

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

A3.6/5.0
Disambiguation4/5

Tool families are organized by resource and action (get/search/preview/reports), so most tools have a distinct purpose. A few near-overlaps exist—customer-service-requests vs search-service-requests and the many campaign preview/search tools—but descriptions generally clarify boundaries.

Naming Consistency4/5

The set consistently uses kebab-case with recognizable prefixes like get-, search-, preview-, and reports-, making intent predictable. A few noun-phrase tools (complaint-recall-risk, customer-service-requests, operations-parts, jobs-today) break the verb-first pattern, but they remain readable and grouped.

Tool Count2/5

45 tools is well beyond the 25+ threshold and creates a large surface for agents to navigate, even though the domain is broad. Many tools are narrow read-only variations (e.g., five preview-campaign tools, three reports-* tools), which inflates the count without adding fundamentally new capabilities.

Completeness4/5

As a read-only/insights server, the surface covers customers, jobs, quotes, invoices, leads, locations, service requests, reviews, campaigns, operations, and reporting with both search and detail access. Minor gaps exist—no get-* for campaign types or social drafts—but these align with the intentionally bounded, safe-read model.

Resources