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Subtensor MCP

Search Subtensor

subtensor_search
Read-onlyIdempotent

Search across all Subtensor pallets, events, calls, storage, constants, and errors by keyword.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoFilter by item type (default: all)
limitNoMax results per page (default: 10, max: 50)
queryYesSearch query (e.g., 'stake', 'neuron', 'emission')
cursorNoPagination cursor from previous response
formatNoResponse format: 'text' (compact, default) or 'json' (structured)
statusNoFilter by item status (default: 'active')

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
totalYes
resultsYes
nextCursorNo
_removed_hintNo
status_filterYes
removed_hiddenNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior2/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds nothing beyond purpose: no note that searching spans all item types by default, no mention of pagination or result caps, and no behavioral context the annotations and schema do not already supply.

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 front-loaded sentence naming the verb, the searched domains, and the matching mechanism, with zero filler. Nothing could be removed without losing information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists and annotations cover safety, so return values and side effects need not be explained. The one real gap is routing against the five sibling tools, but for a straightforward read-only search the description is otherwise sufficient to invoke correctly.

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% and three of six parameters carry enums, so the schema fully documents query, type, limit, cursor, format, and status. The description contributes no additional parameter meaning, which is the expected baseline when the schema does the heavy lifting.

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 specific verb ('Search') and enumerates the resource space (pallets, events, calls, storage, constants, errors) plus the keyword mechanism. It is clear what the tool does, but it never distinguishes itself from near-neighbors such as subtensor_lookup or subtensor_explore, which an agent must pick between.

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?

There is no when-to-use, when-not-to-use, or alternative routing guidance. With siblings named subtensor_lookup, subtensor_explore, and subtensor_list, the agent gets no signal on why it would search rather than look up or 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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