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link_memories

Build a lightweight graph by connecting two facts with a typed relation. Choose from relation types such as relates_to, caused_by, or part_of to clarify how facts connect.

Instructions

在两条事实间建立关系(轻量图)。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
to_idYes
from_idYes
rel_typeYes关系类型,如 'relates_to'|'caused_by'|'part_of'

Schema Changelog

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

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It indicates a relationship is created, but does not disclose whether the operation is idempotent, whether existing relationships are overwritten, whether the referenced facts must already exist, or what side effects occur.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence with no redundant wording. It is appropriately short, though the brevity comes at the cost of missing useful context.

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?

The tool is simple, but with no annotations, no output schema, and sparse parameter descriptions, the definition leaves important gaps: what the response looks like, any prerequisites for linking, and the exact semantics of the relationship edge.

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 coverage is low at 33%, with from_id and to_id having no descriptions. The description implies two facts are linked but does not explain the roles or directionality of from_id and to_id, nor clarify how rel_type interacts with them beyond the schema's examples.

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 clearly states a specific action ('establish a relationship') applied to a specific resource ('two facts') and adds the lightweight-graph context. It is distinguishable from the sibling memory CRUD tools, though it does not explicitly name or contrast any sibling.

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?

No guidance is given about when to use this tool versus alternatives such as save_memory, update_memory, or consolidate. The description only states what it does, not when it should be preferred or avoided.

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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