Skip to main content
Glama

what_the_firm_knows

The firm's brain: what it sells, to whom, its clients and kinds of work, learned from its own mail and files.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "what_the_firm_knows"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations, the description carries the full disclosure burden. It does add genuinely useful provenance—this knowledge is 'learned from its own mail and files'—signaling that the content is derived/inferred rather than authoritative records, but it never states that the call is read-only, how large or current the result is, or what shape it takes.

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 compact sentence, front-loaded with the core concept. The 'brain' metaphor costs a few words without adding precision, but there is no filler or redundancy.

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?

For a zero-parameter, no-output-schema tool, an agent still needs to know roughly what comes back—an overview of services/clients/work types—and how reliable or current it is. The description covers the subject matter but leaves return format and staleness unaddressed, so it is adequate rather than complete.

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 tool takes zero parameters, which is the baseline-4 case. Nothing about inputs needs explaining, and the description correctly implies a single unfiltered dump rather than implying optional scoping that does not exist.

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 description enumerates concrete content the tool surfaces: what the firm sells, to whom, its clients, and kinds of work. That is specific enough to separate it from lookups like get_client or list_deliverables. The framing 'The firm's brain' is metaphorical and there is no explicit verb such as 'returns' or 'summarizes', which keeps it from 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?

There is no statement of when to reach for this over sibling lookups such as list_clients, firm_files, or firm_history. The only guidance is implicit: it describes firm-level knowledge, so an agent can infer it is an orientation call, but nothing is stated about exclusions, freshness, or ordering relative to the narrower tools.

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