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book_evaluation

The evaluation booking link for Artemis GTM and what happens on the call: Tom Regan walks the motion, names the biggest leak visible from the outside and says whether an engagement fits; the caller leaves with a written scoping note and, if it fits, one of the two options on https://artemisgtm.ai/pricing/ (Single system build, priced as shown, or Embedded GTM Engineering, with its final quote to follow). This tool books nothing itself.

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": "book_evaluation"
  }
}

Input Schema

NameRequiredDescriptionDefault
contextNoOptional: the problem or company in one line, echoed back.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

C2/5.0
Behavior1/5

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

No annotations exist, so the description carries the full burden, yet it discloses almost nothing operational: no return format, no side effects, no auth needs. The one useful disclosure, "This tool books nothing itself," is buried at the end and directly conflicts with the tool's own name, creating confusion about whether a write occurs.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One long run-on sentence of marketing copy with a pricing URL and nested parentheticals. The critical caveat ("books nothing itself") is placed last instead of front-loaded, and most sentences describe call outcomes rather than the tool's behavior.

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 and no output schema, the description must explain what the tool returns, and it does not — it is ambiguous whether the output is a URL, call agenda, or pricing summary. For a tool whose name promises an action it explicitly disclaims, that gap is significant.

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

Parameters3/5

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

The single optional `context` parameter is fully documented in the schema (100% coverage, including echo behavior), so the schema does the work. The description adds no meaning about this parameter, which is acceptable given the coverage but earns only baseline credit.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The text describes the sales call ("Tom Regan walks the motion...") and the pricing options rather than stating what the tool itself does. It closes with "This tool books nothing itself," which actively negates the name book_evaluation, leaving the agent unsure whether this retrieves a link, returns sales copy, or triggers anything. Only the opening phrase hints that it returns an evaluation booking link.

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 call this versus siblings such as describe_firm, recommend_engagement, or get_resources. The implicit trigger (a user interested in an evaluation) is never stated, and no exclusions or prerequisites are given.

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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