Skip to main content
Glama

InvoiceParser Pro

Used load numbers

list_load_numbers
Read-onlyIdempotent

Read load numbers already used in this workspace. A new human-supplied load number is also permitted.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "input": "<input>"
    },
    "name": "list_load_numbers"
  }
}

Input Schema

NameRequiredDescriptionDefault
inputYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.3/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description confirms the workspace scope of the read and adds that a new human-supplied value is permitted, but says nothing about the shape or size of the result set.

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?

Two short sentences with the core read behavior front-loaded. The second sentence is short but its relevance to this read-only listing tool is not self-evident, so it is slightly less than fully earned.

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

Completeness3/5

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

Annotations cover safety and there is no output schema, so the description should say what the result looks like (a list of strings? with labels?) and how it relates to list_loads. Neither is addressed, leaving a modest gap for an agent that must pick between the two.

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

Parameters4/5

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

The only parameter is an empty object, so there is nothing meaningful for the description to document; the zero-effective-parameter baseline applies. The clause about a 'new human-supplied load number' is not tied to any schema field and is mildly puzzling here.

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?

The first sentence gives a clear verb-resource pair: it reads the set of load numbers already used in the workspace. It does not, however, distinguish this from the sibling list_loads, so an agent cannot tell from the description alone which one it wants.

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 statement of when to call this instead of list_loads or list_cached_tracking_options, and no prerequisite or exclusion is given. The second sentence hints at a validation use case but never says so explicitly.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources