Skip to main content
Glama
ilyautov

consilium-principis

list_recipes

Display available recipes and suggested starting points to help users who don't know what to ask discover what the advisor can do.

Instructions

Меню «что умеет совет» простыми фразами — покажи юзеру, когда он не знает, что спросить, или просит «что ты умеешь / с чего начать». surface: data (сырые рецепты, дефолт) | widget (кликабельный HTML для show_widget в Cowork) | html (самодостаточный фолбэк).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
surfaceNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.1

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description carries the disclosure burden. It adds useful output-shape information (raw data vs clickable widget vs standalone HTML), which is genuinely beyond the schema. But it says nothing about read-only nature, cost, or side effects of the widget path.

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?

Front-loads purpose in the first clause, then packs the surface variants into a compact pipe-delimited list. Every element earns its place; only the somewhat dense inline formatting keeps it from a 5.

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?

With no output schema and no annotations, the description covers both the 'why/when' and the single parameter's valid values, which is sufficient for a zero-required-parameter listing tool. Minor gap: no note on what the data/shape of the returned recipes actually looks like.

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 0% and the single 'surface' param has no enum in the schema, so the description must compensate. It does: it enumerates all three values (data = raw recipes/default, widget = clickable HTML for show_widget in Cowork, html = self-contained fallback) and marks the default, which is exactly the missing semantics.

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 purpose: a menu of what the council can do, expressed in simple phrases. The verb 'list' plus the 'recipes' concept is clear from name+description together. It does not, however, distinguish itself from plausible siblings like explain_self or quote_of_day, so it falls short of a 5.

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?

Explicitly names the trigger conditions: show it when the user doesn't know what to ask, or asks 'what can you do / where do I start'. That is clear when-to-use guidance. No when-not-to-use or named alternative (e.g. explain_self) is given, so not a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.