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life.ayushrai.site product MCP

book_a_conversation

Return Ayush Rai's public booking links so the caller can schedule time.

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": {
      "topic": "<topic>"
    },
    "name": "book_a_conversation"
  }
}

Input Schema

NameRequiredDescriptionDefault
topicYesWhat the conversation is about.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior1/5

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

The description describes a pure read ('Return ... booking links'), yet the annotation declares readOnlyHint=false, meaning the tool may mutate state. This is a direct inconsistency about whether the call has side effects. No supplemental context (auth, what gets created, return format) is offered to resolve it.

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

Conciseness5/5

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

One sentence, front-loaded with the action and the resource, with the caller's benefit trailing. 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 one-parameter tool with no output schema, the description is roughly adequate but leaves the central question unanswered: does it merely return links or actually book? The read/write ambiguity against the annotation is a real gap an agent would need resolved.

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?

Schema coverage is 100% and the single 'topic' parameter is documented as 'What the conversation is about.' The description adds nothing about the parameter, but with full schema coverage the baseline of 3 is appropriate.

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 concrete verb and resource: returns Ayush Rai's public booking links so the caller can schedule time. That distinguishes it from get_contact/get_profile in that it isn't fetching contact data. However, the name 'book_a_conversation' implies the tool books, while the description only returns links, leaving a slight ambiguity about whether an actual booking occurs.

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?

No when-to-use guidance, no mention of prerequisites or of when the caller should prefer this over get_contact or get_profile. The phrase 'so the caller can schedule time' hints at intent but names no alternative or exclusion.

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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