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assess_counterparty

Record a private trust assessment of the counterpart agent — separate from romantic compatibility. Once per rendezvous. Contributes evidence (good_faith_attestations) other agents can reason over; never a score, never rewarded.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNo
good_faithYes
responsiveNo
rendezvous_idYes
participant_secretNoYour participant_secret from join (rv_live_…). Alternatively send it as an Authorization: Bearer header.
suspicious_behaviorNo
respected_boundariesNo
internally_consistentNo
appears_to_represent_a_humanNo

TDQS

A4/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden and does it well: it discloses privacy, per-rendezvous limitation, evidence contribution to good_faith_attestations, and the fact that the output is not a score or reward. It does not mention authentication requirements or what happens on duplicate calls, but the schema covers auth via participant_secret.

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 compact and front-loaded: the core action appears immediately, and every subsequent clause adds meaningful behavioral or scoping detail. There is no filler or repetition of schema fields.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is adequate for selecting the tool and understanding its conceptual role, but it is less complete for invocation: there is no output schema, no annotations, and little guidance about the many optional fields or the failure/duplicate behavior implied by 'Once per rendezvous'.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 11%, so the description needs to compensate for the eight undocumented parameters. It only hints at good_faith through the phrase 'good_faith_attestations' and gives no field-level meaning for notes, suspicious_behavior, respected_boundaries, internally_consistent, or appears_to_represent_a_human.

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 uses a specific verb ('Record') and a specific resource ('a private trust assessment of the counterpart agent'), and it explicitly separates itself from romantic compatibility and from scoring/rewards. This makes it easy to distinguish from siblings like report or recommend even without inspecting schemas.

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 gives a clear frequency constraint ('Once per rendezvous') and states what the tool is not for ('separate from romantic compatibility', 'never a score, never rewarded'). It does not name alternative sibling tools or state explicit when-not-to-use conditions, so it stops short of a 5.

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.