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MilanAura Authority Check

Run an Authority Check

run_authority_check
Read-only

Runs a free Authority Check from MilanAura AI Studio on a professional's public profile, such as a LinkedIn headline, About section and experience. Returns what is already working, the Authority Starting Point band, the biggest visibility gap, the first practical action, and one authority post written in the person's own voice. Works in English and Arabic. A check takes one to three minutes. If the result is not ready when this returns, it gives a check_id: call get_authority_check_result with it until the result arrives. Show the result to the user as returned. Profile text is used only to produce the result and is not stored.

Input Schema

NameRequiredDescriptionDefault
icpNoTheir professional category, for example fractional CFO or executive coach.
goalNoWhat they want from visibility, for example attract clients.
nameNoThe person's name, if known.
buyerNoWho their ideal buyer is.
offerNoWhat they sell.
proofNoA concrete result they achieved for a client.
headlineNoTheir professional headline.
languageNoOutput language. Use Arabic when the person writes in Arabic or asks for Arabic. Defaults to English.
recent_postNoOne recent post they wrote, used to capture their voice.
profile_textYesThe person's public professional profile text: headline, About, experience, and any other public profile material.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Adds substantial context beyond the annotations: latency (one to three minutes), the async/polling contract with a check_id, the display instruction, language support, and a privacy guarantee that profile text is not stored. These are behaviors the readOnlyHint/openWorldHint annotations cannot convey, and nothing contradicts them.

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?

Front-loaded with what the tool does, then the return payload, then the polling fallback, then the privacy note. Every sentence carries operational information; nothing is padding.

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?

With no output schema, the description compensates by listing the five result components the agent will receive, and it explains the multi-step completion path. Nothing an agent needs in order to call this correctly and handle its result is missing.

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%, so all ten parameters are already documented in the schema, giving a baseline of 3. The description reinforces that profile_text is the core input and that output language follows the person's writing, but adds no format or constraint details beyond that.

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 ("Runs a free Authority Check ... on a professional's public profile") and enumerates what the output contains. It also names the sibling tool get_authority_check_result, so an agent can distinguish the two without opening either schema.

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?

Clearly says to call get_authority_check_result with the returned check_id when the result isn't ready, and to show the result to the user as returned. It does not state when not to run a check or what input quality is required, so it falls short of a full when/when-not/alternatives treatment.

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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