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Who am I (account + capability map)

niche_whoami
Read-only

List the full tool catalog and orient the agent, in one read-only call. Returns every registered tool name and the live tool count, the account (plan and credit balance), a capability map (tools grouped into bands: discover, decide, draft, render, publish, brand, session, plus the recommended flow), and the brand state (whether a brand profile, kit, or voice will personalize output). Call it first to discover what's available, plan a session, and check credits before spending.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
include_testNoInclude scratch and experimental brand slots in available_brands. Default false so only real brands are listed and an agent does not bind a throwaway by accident.
include_all_brandsNoList every brand on the account in available_brands. Default false: only the active brand is returned (with other_brand_count) so a single orienting call does not enumerate the whole roster. Set true when you genuinely need to pick among multiple brands.
include_brand_assetsNoInclude usable brand asset URLs (logo, wordmark) in brand_palette. Default false: the palette returns colours and fonts plus logo_available / wordmark_available booleans, and the renderer fetches the actual asset when a render needs it. Set true only if you need the asset URL directly.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / include_brand_assets
      Added value: +{
      +  "default": false,
      +  "description": "Include usable brand asset URLs (logo, wordmark) in brand_palette. Default false: the palette returns colours and fonts plus logo_available / wordmark_available booleans, and the renderer fetches the actual asset when a render needs it. Set true only if you need the asset URL directly.",
      +  "type": "boolean"
      +}
  2. Changed1 schema field changed
    • addedInput schema / properties / include_all_brands
      Added value: +{
      +  "default": false,
      +  "description": "List every brand on the account in available_brands. Default false: only the active brand is returned (with other_brand_count) so a single orienting call does not enumerate the whole roster. Set true when you genuinely need to pick among multiple brands.",
      +  "type": "boolean"
      +}
  3. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description reinforces this with 'read-only call.' It adds valuable context beyond annotations by detailing what the tool returns: registered tool names, live tool count, account plan/credit balance, capability map, and brand state. This helps the agent predict the output and plan actions, though it does not describe internal mechanics or edge cases.

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 three sentences long and front-loaded with the core purpose. It lists the main return categories in a compact, scannable style, and every sentence adds value—no filler, no redundancy. The structure effectively conveys both behavior and usage in minimal space.

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?

The description is complete for a tool with no output schema: it covers the full set of return values (catalog, account, capability map, brand state), the intended usage ('Call it first'), and the safety profile (read-only call). It even hints at the recommended flow within the capability map. The optional parameters that alter output are already detailed in the schema, so the description does not need to repeat them.

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%, with all three optional boolean parameters clearly documented in the input schema (include_test, include_all_brands, include_brand_assets) including their defaults and effects. The description does not add extra parameter semantics beyond what the schema provides, but this is acceptable because the schema already carries the full burden. Baseline 3 applies.

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 tool's function: 'List the full tool catalog and orient the agent, in one read-only call.' It enumerates the exact resources returned (tool catalog, account info, capability map, brand state) and distinguishes itself from sibling action tools like niche_draft_create or niche_render_image_card by serving as an orientation/meta tool. The phrase 'Call it first' reinforces its unique role.

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?

The description gives explicit usage guidance: 'Call it first to discover what's available, plan a session, and check credits before spending.' This tells the agent exactly when to invoke it and why, while also implying it should precede other tool calls. It does not explicitly mention exclusions, but given its read-only and orientation purpose, the guidance is sufficient and clear.

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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