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accelo

List tasks

list_tasks
Read-only

List tasks (units of work logged against an object such as a job or company). Accelo API: GET /api/v0/tasks. 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

A3.7/5.0
Behavior4/5

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 genuine context beyond that: the endpoint, the supported query mechanisms (_page/_limit/_fields/_filters/_search), that _filters is passed through verbatim, and the { meta, response } envelope.

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 compact sentences with no filler, front-loaded with the purpose and then the mechanics. Slightly telegraphic but every clause carries information.

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 no output schema, the description compensates by naming the return envelope { meta, response }, and it covers the pagination/filter surface. It lacks guidance on filter syntax or error behavior, but for a read-only list tool it is close to complete.

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 format examples for _filters. The description merely names the same parameters, adding no syntax or semantics beyond the schema; 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 tasks") and adds a clarifying gloss ("units of work logged against an object such as a job or company"), plus the backing endpoint GET /api/v0/tasks. It does not explicitly contrast with siblings like get_task or list_jobs, so it falls short of a 5.

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 verb "list" plus pagination/search parameters implies a browsing/collection use case, and a sibling get_task exists for single fetches, but the description never states when to use this rather than get_task or which filters are appropriate. Usage is only implied.

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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