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selvinchen97-lab

selvin-search-mcp

plan_tool_mapping

Batch submit all sub-query to tool mappings in one call, specifying tool, parameters, and reasoning for each mapping.

Instructions

Phase 5: Submit ALL sub-query → tool mappings in ONE call (batch).

mappings_json: JSON array, each element shape: {"sub_query_id":"sq1","tool":"web_search","reason":"...", "params":{"platform":"GitHub"}}

tool must be: web_search.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
thoughtYesReasoning for the full mapping
confidenceNoConfidence 0.0-1.0
session_idYesSession ID from plan_intent
is_revisionNoTrue to replace prior mappings
mappings_jsonYesJSON array of mapping objects (see description)
Behavior2/5

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

No annotations provided, and the description does not disclose behavioral traits like side effects, authorization needs, or rate limits. The minimal description lacks transparency beyond the basic purpose.

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?

The description is extremely concise with two sentences. The first sentence states the purpose clearly, and the second provides the exact JSON template. No wasted words.

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?

Given 5 parameters, no output schema, and no annotations, the description covers the core element (mappings_json format) but lacks information on response behavior, validation, or error handling. It is adequate but not comprehensive.

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

Parameters4/5

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

Schema coverage is 100%, but the description adds value by providing the exact JSON structure for mappings_json, which goes beyond the schema's generic description. This helps the agent format the parameter correctly.

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 clearly states the verb 'Submit' and the resource 'all sub-query → tool mappings in one call (batch)'. It distinguishes from sibling tools like plan_sub_query and plan_execution by specifying it's a batch mapping submission.

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?

The description explicitly says 'Phase 5' and 'Submit ALL sub-query → tool mappings in ONE call', indicating when to use it. However, it does not explicitly state when not to use it or provide alternatives, though sibling tools give context.

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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