Skip to main content
Glama

intelliHR MCP by usefulapi

List trainings

intellihr_list_trainings
Read-only

Training records completed or booked by people, with provider, type and dates. Filter by training name, provider, type, employee number or email. GET /trainings.

Input Schema

NameRequiredDescriptionDefault
nameNoTraining name.
pageNoPage number, from 1 (default 1). Pass the previous reply's next_page.
emailNoThe person's primary email.
limitNoResults per page, 1-100 (default 25).
type_nameNo
newest_firstNoSort by creation date, newest first.
provider_nameNo
employee_numberNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds real value by disclosing that both completed and booked trainings are returned and by naming the underlying endpoint, but it does not say whether unfiltered calls return the whole tenant or how large result sets behave.

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 sentences plus an endpoint reference, front-loaded with what the resource is before listing filters. Every clause carries information an agent would otherwise have to infer.

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?

With 8 optional params, no output schema and no nesting, the description supplies the filter vocabulary and the record semantics that the schema leaves out. It stops short of describing the shape of a returned training record or default sort, which matters slightly given there is no output schema.

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?

Schema coverage is only 63%, with type_name, provider_name and employee_number undocumented in the schema; the description compensates by enumerating exactly those filter dimensions in plain language. It omits any hint about newest_first or the page/limit conventions, but those are covered by schema descriptions.

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?

States a specific resource (training records) and scope (completed or booked by people) plus the fields returned (provider, type, dates). It is clearly a list operation, distinguishable from siblings like list_qualifications or list_skills by name and subject, though it never explicitly contrasts with them.

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 sentence 'Filter by training name, provider, type, employee number or email' implies the practical usage contexts, but there is no explicit when-to-use vs when-not, no mention of what happens if no filters are supplied, and no named alternative tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.