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accelo_count_purchases

Count purchases in Accelo matching search terms or filters to retrieve totals for reporting and reconciliation.

Instructions

Count purchases 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?

With no annotations provided, the description carries the full behavioral burden, yet it discloses nothing beyond the verb. It does not state that this is a read-only/side-effect-free operation, what happens when filters are omitted, or how results are returned.

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 short sentence with no filler and the purpose front-loaded. It is efficiently sized, though the brevity stems partly from under-specification rather than genuine economy.

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 annotations, no output schema, and 0% parameter documentation, the description should do far more work. An agent lacks the filter format, the meaning of 'search', and any behavioral context needed to invoke it confidently.

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 parameters ('search' and 'filters') are undocumented in the schema. The description mentions 'filters' generically but never explains the 'search' parameter or the accepted filter syntax, 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 ('purchases'), so the core intent is unambiguous. However it does not distinguish itself from siblings like accelo_list_purchases or accelo_get_purchase, leaving the count-vs-list distinction to inference.

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 counting versus listing or getting purchases, nor any mention of required permissions or prerequisites. Usage is only implied by the tool name.

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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