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elaichi__toolbox__update

Update a toolbox’s name or description (not entries — use toolbox.set_entries). MERGE: fields you omit keep their current values. description takes a string, or null to clear it; any other type is rejected rather than silently wiping the field. Only a STORED id may be updated — the global:…/connection:… dynamic ids from toolbox.list are recomputed from scratch on every call and are refused here. Returns the updated { toolbox, entries } detail — the same NESTED shape toolbox.get returns, so the name is result.toolbox.name, never result.name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesStored toolbox id (`tbx_…`) from toolbox.list.
nameNoNew name. Omit to leave unchanged.
descriptionNoNew description; null clears it. Omit to leave unchanged.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A5/5.0
Behavior5/5

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

Annotations are all false and sparse, so the description carries the full burden. It discloses MERGE semantics, null-clears-description behavior, type rejection of non-string values, refusal of dynamic ids, and the nested return shape. No contradiction with annotations.

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?

Dense but every sentence earns its place: scope, merge behavior, null handling, id constraint, and return shape are all packed into a few sentences. The core purpose is front-loaded and the rest are targeted clarifications.

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

Completeness5/5

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

No output schema exists, so the description explains the return shape explicitly with 'result.toolbox.name, never result.name'. Combined with merge semantics and id restrictions, the description is complete for an agent to call this tool correctly.

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

Parameters5/5

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

Schema coverage is 100% so baseline is 3, but the description adds meaning well beyond the schema: omitted fields keep current values, null clears description, any other type is rejected, and the id must be a stored id rather than the dynamic ids from toolbox.list. These behavioral details are essential for correct invocation.

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?

States a specific verb and resource: 'Update a toolbox's name or description' and explicitly scopes out entries with 'not entries — use toolbox.set_entries', distinguishing it from sibling tools. The purpose is immediately clear and unambiguous.

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

Usage Guidelines5/5

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

Gives explicit when-not and alternatives: 'not entries — use toolbox.set_entries' and clarifies that only a STORED id may be updated, refusing dynamic ids from toolbox.list. This tells the agent exactly when to use this tool versus alternatives and what inputs are valid.

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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