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Thomas Anglero Speaker MCP

Submit an advisory inquiry

submit_advisory_inquiry

Send a private advisory inquiry to Thomas Anglero on behalf of a CEO, Chair or board member who wants one-to-one advice on AI (The Reset), not a keynote. Before calling: read get_advisory_info, show the person every detail you will send, and send only after they approve (human_approved true) and agree to be contacted (consent true). The challenge field needs at least 300 characters: the situation, what has already been tried, and the outcome wanted. Records the inquiry in the same pipeline as the website form. Thomas reads each inquiry and handles replies personally. Do not promise a reply, a reply time, or a conversation. For a keynote, use submit_speaking_inquiry.

Input Schema

NameRequiredDescriptionDefault
nameYesFull name of the person seeking advice.
roleYesTheir role, for example CEO, Chair, or board member.
emailYesTheir email address. Thomas handles replies personally.
companyYesTheir company or organization.
consentYesMust be true. Set true only if the person agrees that Thomas Anglero may contact them by email about this inquiry (privacy policy: https://anglero.com/privacy-policy/).
countryYesCountry where they are based.
websiteNoLeave blank. Anti-spam field.
ai_stageYesWhere they are with AI today. One of the listed options, exactly as written.
linkedinNoOptional. Their LinkedIn profile address.
challengeYesIn their own words, what they want to solve or decide. At least 300 characters: their situation, what they have already tried, and the outcome they want.
agent_nameYesThe name of the AI agent or assistant sending this inquiry.
company_sizeYesNumber of employees. One of the listed options, exactly as written.
human_approvedYesMust be true. Set true only after the person has seen and approved the exact details being sent.
company_websiteNoOptional. The company website, as a full address starting with https://.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations only declare readOnlyHint=false, so the description usefully carries the rest: it records into the same pipeline as the website form, Thomas reads and replies personally, and the agent must not promise a reply or reply time. These are real behavioral constraints beyond the annotation, though the gated approval fields are largely echoed from the schema.

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?

Purpose is front-loaded and every sentence carries a distinct instruction (preconditions, field rule, pipeline behavior, reply disclaimer, alternative). It is long but dense with required agent behavior rather than filler.

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?

For a 14-parameter write tool with no output schema and minimal annotations, the description supplies the missing behavioral guidance an agent needs before submitting. It does not state what a successful call returns (e.g., a confirmation), a minor gap.

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 coverage is 100%, so the baseline is 3. The description reiterates the 300-character challenge requirement and the meaning of human_approved and consent, but adds no semantics beyond what the schema descriptions already state.

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 (Send) and resource (private advisory inquiry) plus the audience and scope: one-to-one AI advice, 'not a keynote'. It explicitly names the sibling it is not, submit_speaking_inquiry, so an agent can route correctly 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 Guidelines5/5

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

Gives explicit preconditions (read get_advisory_info first, show the person every detail, send only after approval and consent) and an explicit alternative for the keynote case. When-to-use and when-not-to-use are both spelled out.

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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