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Glama

EQIQs Rapport Axis

list_relationships

List saved pairings and the context each was scored in.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
contextNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It reveals that saved pairings and their scoring contexts are returned, but it does not explain filtering behavior, limit semantics, ordering, pagination, or any 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 a single, efficient sentence with no wasted words. It front-loads the core action and resource while adding the key context detail.

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

Completeness2/5

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

Although this is a simple list operation, the lack of annotation, output schema, and parameter explanations leaves the agent unable to determine how the optional parameters affect behavior or what exactly is returned. The description is not complete enough for confident invocation.

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?

The schema provides only type information for 'limit' and 'context' with 0% coverage. The description mentions context as a scoring context, giving a slight hint, but it never clarifies whether 'context' is a filter parameter or just an output field, and 'limit' is not addressed at all.

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 states a specific verb and resource: 'List saved pairings' and the context each was scored in. This clearly differentiates it from sibling tools like list_profiles by targeting pairings rather than profiles.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives, no mention of prerequisites, and no exclusions. The intended usage is only implicit from the verb 'List.'

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

A3.6/5.0
Disambiguation5/5

Each tool targets a clearly distinct operation: profile management, self-profile access, listing, relationship listing, compatibility scoring, and narrative generation. Even get_my_profile versus get_profile is unambiguous because the descriptions clearly separate the signed-in user from other profiles.

Naming Consistency5/5

All tool names follow a consistent lowercase snake_case verb_noun pattern, such as create_profile, get_profile, list_profiles, and score_compatibility. generate_narrative also fits the pattern despite being a different kind of operation.

Tool Count5/5

Seven tools is a well-scoped size for a relationship/profile intelligence server. Each tool addresses a meaningful part of the workflow without unnecessary redundancy or bloat.

Completeness4/5

The core lifecycle is covered: create, retrieve, list, and score profiles and relationships. The main gaps are the lack of update/delete operations for profiles and pairings, but agents can still complete primary workflows.

Resources