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Task Orchestrate

task-orchestrate

Breaks down a multi-step task into an actionable plan, using the available tools, so any agent can execute it.

Instructions

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 }. (3 MESH/call, a tool · reasoning)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesPayload for task-orchestrate
Behavior3/5

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

Annotations declare readOnlyHint=false, openWorldHint=true, destructiveHint=false. The description mentions '3 MESH/call' pricing and credits 'api.meshtool.ai' as the backend, adding cost context. It also frames the output as 'an execution plan any agent can follow,' disclosing the result is a plan (not execution). However, it doesn't describe failure modes, timeouts, or what happens with ambiguous/underspecified tasks.

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?

Compact single-paragraph description with front-loaded purpose statement. The pricing note and attribution are concise additions. One minor inefficiency: the '·' separated tag 'a tool · reasoning' at the end is cryptic and adds little value.

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?

No output schema exists, so description should explain what the returned plan looks like — it says 'execution plan any agent can follow' but doesn't specify format (steps? JSON? ordering constraints?). Pricing is disclosed which is helpful. For a tool with one nested-input parameter and clear schema, this is adequate but the output format gap is notable.

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?

With 100% schema description coverage, baseline is 3. The schema already documents task (what needs to happen) and tools (tools/services available). The description adds 'array' type hint for tools but doesn't add semantic value beyond what schema provides. The optional context parameter is undocumented in both schema and description for meaning.

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

Purpose3/5

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

The description states it breaks a multi-step task into an execution plan, which is a specific verb+resource. However, it's somewhat generic and doesn't clearly distinguish from siblings like task-analysis or mesh_delegate — the difference between 'planning' (task-orchestrate) vs 'analyzing' (task-analysis) vs 'delegation' (mesh_delegate) is not articulated.

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 vs alternatives. It notes input requirements (task, tools array) but doesn't explain scenarios where orchestration is appropriate versus when an agent should just execute directly, nor does it mention limitations or edge cases. The alternatives given by siblings are numerous but no exclusions or preferred contexts are stated.

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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