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Task Orchestrate

task-orchestrate

Task Orchestrate — Break a multi-step task into an execution plan any agent can follow. Powered by api.meshtool.ai. Input: { task: string, tools: array }. (6 MESH/call, a tool · reasoning)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesPayload for task-orchestrate

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

The description adds useful context beyond annotations: it discloses an external dependency ('Powered by api.meshtool.ai') and a cost ('6 MESH/call'), which matters for an agent deciding whether to invoke it. However, it does not describe failure modes, rate limits, or what the execution plan looks like. No contradiction with annotations (readOnlyHint=false aligns with an external call).

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

Conciseness3/5

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

The description is compact and front-loads the purpose, but it contains redundancy: 'Task Orchestrate —' repeats the tool title, and 'Input: { task: string, tools: array }' duplicates the schema. The suffix '(6 MESH/call, a tool · reasoning)' is cryptic and arguably confusing. It is adequately short but not maximally economical.

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?

For a tool with a nested input object (4 properties) and no output schema, the description carries a heavy burden, yet it fails to explain the return format of the execution plan, how use_memory affects planning, or what happens on external API failure. An agent cannot predict what it will receive back, leaving a significant gap.

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 description coverage is 100%, so the baseline is 3. The description's 'Input: { task: string, tools: array }' merely restates the two required parameters already documented in the schema and adds no syntax, format, or constraint details beyond it. The description does not compensate for anything the schema already covers.

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 states a specific verb+resource: 'Break a multi-step task into an execution plan any agent can follow.' This clearly conveys the tool's function and distinguishes it from most siblings, though it does not explicitly differentiate from the closely-named 'task-analysis' tool. The purpose is clear and aligned with the name.

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 guidance on when to use this tool versus alternatives. It does not mention task-analysis or any other sibling, and there are no when-to-use or when-not-to-use conditions. An agent would have to infer suitability from the name alone, which is risky given the large sibling list.

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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