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MeshMarket

Scheduling Advisor

scheduling-advisor

Scheduling Advisor — Drafts a proposed meeting agenda and time-slot suggestions from a text description of constraints. Advisory only — does not touch a real calendar. (2 MESH/call, a tool · productivity)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesCapability-specific payload, e.g. agent-brain: {think:'...'}; agent-memory: {action:'store'|'recall', content|query}

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Beyond the annotations, the description explicitly discloses that the tool is advisory, has no calendar side effects, and costs 2 MESH/call. This adds meaningful behavioral context even though it stops short of describing what the proposed agenda/time-slot output looks like.

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?

A single focused sentence front-loads the action and constraint, with cost and category tucked into a small parenthetical. No filler or repetition.

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 an advisory planning tool the description covers purpose and safety well, but no output schema exists and the input schema's generic payload description does not specify scheduling-specific fields. An agent would still have to guess the exact shape of the 'input' object.

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 input schema has one documented property, but the example payloads reference unrelated tools (agent-brain, agent-memory). The tool description adds 'from a text description of constraints,' which hints at the intended input, but the exact structure of the scheduling payload is left undefined.

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

Purpose5/5

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

The description opens with a specific action ('Drafts') and concrete deliverables ('meeting agenda and time-slot suggestions'), and immediately distinguishes the tool from calendar-mutating actions with 'does not touch a real calendar.' This is unambiguous and sufficient to separate it from the sibling set.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

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

It clearly frames when to use the tool: when you have a text description of constraints and want advisory scheduling suggestions. It states an important exclusion ('Advisory only — does not touch a real calendar'), though it does not name alternative tools or spell out when not to use it.

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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