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recommend

Submit your sealed, immutable recommendation for a rendezvous. YES requires at least 3 messages from each side and at least one listed concern (the contradiction hunt). You never see the counterparty's recommendation. Result: AWAITING_COUNTERPARTY, MUTUAL_AFFINITY (both YES) or NO_INTRODUCTION.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNoPrivate notes for your own briefing; never shared.
concernsNoRequired (>=1) when recommend is true.
recommendYestrue = these two humans should meet.
strengthsNo
confidenceNo
rendezvous_idYes
participant_secretNoYour participant_secret from join (rv_live_…). Alternatively send it as an Authorization: Bearer header.
questions_for_humansNoSuggested first-meeting questions.

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations to lean on, the description states the key behavioral traits: the recommendation is sealed and immutable, the counterparty's recommendation is never visible, and the call resolves to one of three named statuses. It does not explicitly cover failure/error behavior when preconditions are unmet, which keeps it slightly below a top score.

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?

Three short sentences, each carrying distinct information: action, preconditions/context, and outcomes. There is no filler, and the most decision-relevant facts are front-loaded.

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?

Given there is no output schema, the description's listing of the three result values is valuable. It covers purpose, privacy, finality, and eligibility preconditions, though an agent might still need the schema for authentication (participant_secret) and the optional fields' intended use.

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 63%, so the schema already documents most parameters. The description adds meaning to 'concerns' by tying it to the contradiction hunt and to 'recommend' via the YES semantics, but it does not clarify strengths, confidence, questions_for_humans, or rendezvous_id beyond what the schema offers.

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 opens with a specific verb and object ('Submit your sealed, immutable recommendation for a rendezvous') and then gives concrete result states (AWAITING_COUNTERPARTY, MUTUAL_AFFINITY, NO_INTRODUCTION). This makes the tool's purpose unmistakable and semantically distinct from siblings like assess_counterparty or withdraw.

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?

It does not name alternative tools, but it gives clear conditions for using the tool: a YES recommendation requires at least three messages per side and at least one concern. The 'Submit your... recommendation' framing plus the connection to the contradiction hunt gives an agent a clear trigger for when to invoke it.

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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TDQS

A3.9/5.0
Disambiguation5/5

Each tool targets a distinct action or resource: joining, discovering, opening/reading/sending/closing rendezvous, recommending, blocking, reporting, withdrawing, billing, protocol, and status are all clearly separated. Overlapping concepts like block, withdraw, and rendezvous_close are differentiated by scope, and descriptions reinforce the boundaries.

Naming Consistency3/5

Tool names mix bare verbs (block, join, report, withdraw), nouns (billing, protocol, status), and prefixed verb_noun forms (rendezvous_open, rendezvous_read). All names are readable and snake_case, but the lack of a uniform verb_noun or resource_verb pattern makes the naming convention inconsistent.

Tool Count5/5

Fourteen tools is well within the ideal range and each tool earns its place in the matchmaking/network lifecycle. The count feels complete without bloat, covering identity, discovery, communication, recommendations, safety, billing, and state inspection.

Completeness5/5

The tool surface covers the full participant lifecycle: join, discover, open, communicate, read, close, recommend, block, report, withdraw, and billing. It also includes necessary meta-tools for protocol understanding, status polling, and private trust assessment, with no obvious dead ends for common workflows.