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accelo

List staff

list_staff
Read-only

List staff (Accelo users in your deployment). Accelo API: GET /api/v0/staff. Supports _page/_limit/_fields/_filters/_search. Returns { meta, response }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo_page: 0-indexed page number (default 0).
limitNo_limit: max objects to return (1–100, default 50).
fieldsNo_fields: comma-separated extra fields to include in each object, or "_ALL" for every available field.
searchNo_search: free-text search across the object's searchable fields.
filtersNo_filters: Accelo filter string, function-like and comma-separated. E.g. status(1), date_created_after(1704067200), order_by_desc(date_created), search(acme). Suffix _not for negation; combine with _OR(...)/_AND(...). Passed through verbatim as _filters.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds modest value beyond that: the underlying HTTP endpoint and the { meta, response } envelope, which signals pagination metadata. It does not mention rate limits, auth requirements, or default result behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences, front-loaded with what the tool is, then endpoint and query capability, then return shape. Efficient with no filler, though the 'Accelo API: GET ...' fragment is somewhat telegraphic.

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?

There is no output schema, but the description supplies the response envelope ({ meta, response }) and the endpoint, and the schema fully documents the five optional parameters. For a simple read-only list tool this is nearly complete; only sibling routing (list vs get) is left implicit.

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 all five parameters are already fully documented in the schema, including the detailed _filters grammar. The description only echoes the parameter names, adding no meaning beyond the structured fields; baseline 3 applies.

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 verb+resource ('List staff') and usefully disambiguates staff as 'Accelo users in your deployment', plus names the backing endpoint GET /api/v0/staff. It does not explicitly contrast with the sibling get_staff, so an agent must infer list-vs-single, but the core purpose is 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 versus get_staff or accelo_request, and no prerequisites stated. The mention of supported query operators implies a listing/filtering use case but never states it, leaving usage to inference.

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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