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accelo_count_tasks

Count tasks in Accelo that match filters or a search query to track task totals and support workload planning.

Instructions

Count tasks matching the given filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchNo
filtersNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It does not disclose read-only nature, whether filters are ANDed, what happens with an empty/null filter, or any auth or rate-limit behavior. For a tool with zero annotation coverage, this is a meaningful gap.

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?

A single efficient sentence with the action front-loaded and no filler. It is well-sized, though its brevity reflects under-specification rather than disciplined trimming.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, no annotations, and two entirely undocumented parameters, the definition leaves too much unspecified for an agent to invoke it confidently. At minimum it should explain the filter format and what the count represents.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so both 'search' and 'filters' are undocumented in the schema. The description mentions 'filters' only in passing and says nothing about the search parameter, the filters object shape, or accepted keys, so it fails to compensate for the coverage gap.

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 ('Count') and resource ('tasks'), and the word 'matching' implies filtering. It is clearly distinguishable from accelo_list_tasks or accelo_get_task by the counting semantics, but it never explicitly contrasts itself with those siblings.

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?

There is no guidance on when to use count versus list, whether filters are required or optional, or what context this tool fits into. The agent must infer everything from the name alone.

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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