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Kremis

Kremis

by TyKolt
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Rust
Hybrid

kremis_lookup

Retrieve an entity from the knowledge graph by its numeric ID; the response indicates whether the result is a Fact, Inference, or Unknown.

Instructions

Look up an entity in the graph by its entity ID

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "entity_id": "<entity_id>"
    },
    "name": "kremis_lookup"
  }
}

Input Schema

NameRequiredDescriptionDefault
entity_idYesThe entity ID to look up

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.18.2

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It only states 'look up' without clarifying whether it is read-only, if the ID must exist, what happens on missing IDs, or any side effects. Minimal disclosure.

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, clear sentence with no redundant information. It is appropriately concise for a simple tool, though it could include a brief note on output without becoming verbose.

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 has no output schema, so the description should indicate what the lookup returns (e.g., entity properties or existence). It does not mention return value, making the description incomplete for an agent to understand the full behavior.

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?

The input schema has 100% coverage for the single parameter 'entity_id' (described as 'The entity ID to look up'). The description adds no additional meaning beyond what the schema already provides, so it meets baseline expectations.

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 explicitly states 'Look up an entity in the graph by its entity ID,' clearly identifying the action (look up), resource (entity in graph), and key parameter (entity ID). It is distinct from siblings like 'kremis_traverse' or 'kremis_properties' which imply different operations.

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 provided on when to use this tool versus alternatives such as 'kremis_traverse' or 'kremis_properties'. The description merely states the function without context on limitations, prerequisites, or exclusion criteria.

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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