Skip to main content
Glama

accelo_count_ledgers

Count ledgers matching specified filters and search terms. Returns the total number for reporting or analysis.

Instructions

Count ledgers 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, the description carries the full behavioral burden, yet it discloses nothing beyond the verb. It does not state that this is a read-only/non-mutating operation, whether filters are required or optional, or what happens when no filters are supplied.

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 front-loaded sentence with zero waste. Its brevity is appropriate in form, though it is under-specified rather than optimally concise.

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?

For a tool with no annotations, no output schema, and 0% parameter documentation, the description leaves the filter contract and the read-only nature undisclosed. It is not sufficient for an agent to call it correctly with confidence.

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 the schema documents nothing. The description mentions 'filters' but never explains the 'search' parameter or the expected shape/keys of the filters object, leaving both parameters effectively opaque.

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 ('ledgers'), making it distinguishable from accelo_list_ledgers and accelo_get_ledger by the counting semantics. However, it does not explicitly reference those siblings to confirm the distinction, 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 Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'matching the given filters' hints at a narrowed query, but there is no guidance on when to use this versus accelo_list_ledgers, nor any prerequisite or exclusion. The agent must infer usage entirely.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

Other Tools