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JinyangWang27

people-context

get_relationship_graph

Read-only

Retrieve the active relationship structure around a person, using either a resolved person ID or a name. Limits depth and relation types for bounded disclosure.

Instructions

Return active relationship structure around one person, capped for bounded disclosure.

Pass person_id from resolve_person, or person (a name or alias) to resolve inline.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
depthNo
typesNo
personNo
person_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observedv1.1.1

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, and the description adds meaningful behavioral context by specifying 'active' relationships and 'capped for bounded disclosure.' This goes beyond the annotation without contradicting it.

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 with the primary purpose, followed by a concrete parameter instruction. No sentence is wasted.

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?

An output schema exists, so return-value documentation is not needed. However, with no schema-level parameter descriptions, the missing semantics for depth and types leave the definition incomplete for a tool with four optional parameters.

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 0%, so the description carries the burden of explaining parameters. It clarifies the relationship between person and person_id but leaves depth and types undefined, which is a significant gap for correctly invoking the tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action and resource: 'Return active relationship structure around one person,' which clearly identifies the tool's purpose. It does not explicitly differentiate from siblings like find_connection or get_person_context, so it misses full sibling distinction.

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

Usage Guidelines3/5

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

The description provides operational guidance on how to identify the person ('Pass person_id from resolve_person, or person ... to resolve inline'), but it does not state when to prefer this tool over related graph tools. Usage context is implied rather than explicitly scoped with alternatives or exclusions.

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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