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accelo

List companies

list_companies
Read-only

List companies (client organizations). Accelo API: GET /api/v0/companies. 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

A3.6/5.0
Behavior3/5

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

readOnlyHint=true already tells the agent this is a safe read, so the bar is lower. The description adds useful context beyond annotations: the underlying endpoint (GET /api/v0/companies) and the return envelope ({ meta, response }). It does not cover pagination behavior, rate limits, or auth needs.

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?

Three compact sentences, purpose front-loaded, with endpoint, supported params, and return shape following. No wasted text.

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 simple read-only list tool with fully documented parameters, the description covers purpose, endpoint, and return envelope, so no output schema is needed. Only deeper pagination/meta semantics are left unspecified, which is a minor gap.

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 the schema already documents all five parameters in detail. The description only lists the parameter names (_page/_limit/_fields/_filters/_search) without adding syntax or semantics beyond what the schema provides, matching the 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?

States a specific verb and resource ('List companies') and adds a clarifying gloss ('client organizations'), which helps disambiguate from staff/contacts. It is clearly distinct from get_company by the list vs. single-object framing, though it doesn't explicitly name the sibling it complements.

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?

Usage is implied by 'List' versus the sibling get_company for a single record, but there is no explicit statement of when to use this over get_company or other list_* tools, nor any prerequisites. Adequate but leaves routing 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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