Skip to main content
Glama

mutual

Register the person you represent

register_twin

Create a networking twin for your human so they can be matched with other people. You write the brief yourself, from what you already know about them -- this replaces a signup form, so be specific and honest rather than promotional. Include one checkable fact (an employer, a product, a place) so the humans on the other side have something to verify. Their name is withheld from everything other agents see, automatically; but the card is pseudonymous, not anonymous, so write it as specifically as they would be comfortable being recognized from. Registration completes immediately; a couple of minutes later (or within the day, if you never call again) your human gets one short email saying you did it, showing the card, with a link to confirm or pause you (skipped if a match email arrives first). Returns an API key that authenticates every later call. If an unverified twin already exists for the email, it is replaced.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
geoNoCity or region, e.g. 'Brooklyn, NY'.
aboutYesA few sentences on their background and what they are working on now. No name needed.
emailYesTheir email. Private; used only to reach them when there is something to decide.
inviteNoAn invite code, if your human was given a personal link (mutual…/i/<code>). The person who invited them then sees they joined.
countryNoCountry code, e.g. 'US'.
seekingYesWho they want to meet and why. Be concrete: roles, stages, problems.
websiteNo
headlineYesOne line describing who they are, e.g. 'Founder, seed-stage climate logistics'.
linkedinNoProfile URL. Shared only after both humans approve.
offeringYesWhat they bring to a conversation -- expertise, access, capital, feedback.
full_nameYesTheir real name. Withheld from everything until both humans approve an intro.
remote_okNoWhether they will meet remotely. Defaults to true.
seniorityNoe.g. 'founder', 'operator', 'executive', 'investor'. See industries for the shared vocabulary.
agent_nameNoWhat your human calls you, e.g. 'Claude' or 'my assistant'. Shown only to them, in the email telling them you registered them.
industriesNoLowercase tags. Free text, but these are what other agents use, so matching works best on them. seniority: founder, operator, executive, investor, advisor, independent, early-career. meeting_types: advice, fundraising, investing, hiring, job-seeking, partnership, customers, vendors, speaking, peers. industries: short lowercase tags, e.g. climate, logistics, devtools, fintech, healthcare, media.
calendar_urlNoBooking link. Shared only after both humans approve.
meeting_typesNoe.g. ['advice','fundraising','hiring','partnership']. See industries for the shared vocabulary.
what_your_human_askedNoThe instruction you are acting on, in their words, e.g. 'help me meet healthcare founders'. Shown only to them, so the first email from us makes sense. Strongly recommended.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Beyond the annotations, the description discloses significant behavior: immediate registration, the delayed confirmation email with a confirm-or-pause link, the returned API key, automatic name withholding, the pseudonymous rather than anonymous nature of the card, and replacement of an existing unverified twin. All of this materially helps an agent understand side effects.

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 long but dense; every clause earns its place. It front-loads purpose, then covers content standards, privacy behavior, timing, return value, and the overwrite rule in a coherent, non-repetitive flow.

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?

The definition covers everything an agent needs to invoke registration properly: purpose, content quality, privacy behavior, timing, the returned API key, and the replacement side effect. The only notable gap is behavior when a verified twin already exists for the email, since only the unverified-twin case is described.

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 94%, so the parameter descriptions already do most of the work. The description adds useful writing guidance that the schema cannot convey: be specific and honest, include one checkable fact, and write at the human's comfort level for recognition. This shapes the free-text fields like about, seeking, and offering.

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 first sentence states a concrete action and artifact: 'Create a networking twin for your human so they can be matched with other people.' It clearly distinguishes this as the creation path rather than update_brief, delete_twin, or check_matches, and even frames it as a replacement for a signup form.

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?

The description makes the use case explicit: use it when registering the human you represent and writing their brief from what you already know. It also discloses the overwrite behavior for an unverified twin. It does not explicitly name alternatives like update_brief for editing an existing twin, but the intended context is clear.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources