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MCP-Kanka

MCP-Kanka

by twistymaze
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

get_entities

Retrieve specific entities from a Kanka campaign by their IDs, with an option to include associated posts.

Instructions

Retrieve specific entities by ID with their posts

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_ids": "<entity_ids>"
    },
    "name": "get_entities"
  }
}

Input Schema

NameRequiredDescriptionDefault
entity_idsYesArray of entity IDs to retrieve
include_postsNoInclude posts for each entity

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

C2.9/5.0
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 states the action 'retrieve' but doesn't cover critical aspects like whether this is a read-only operation, potential rate limits, authentication needs, error handling, or what happens if IDs are invalid. This leaves significant gaps in understanding the tool's behavior.

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 that directly states the tool's purpose without unnecessary words. It is appropriately sized and front-loaded, making it easy to grasp quickly with zero waste.

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?

Given the complexity of a retrieval tool with no annotations and no output schema, the description is incomplete. It doesn't explain what 'entities' are, what data is returned, how posts are included, or error scenarios. This lack of detail makes it inadequate for an agent to use the tool effectively without additional context.

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 schema description coverage is 100%, so the input schema fully documents both parameters (entity_ids and include_posts). The description adds minimal value by implying retrieval includes posts, but it doesn't provide additional context like format details or usage examples beyond what the schema already specifies.

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 the verb 'retrieve' and the resource 'specific entities by ID with their posts', which distinguishes it from siblings like 'find_entities' (likely for searching) or 'create_entities' (for creation). However, it doesn't explicitly contrast with 'check_entity_updates' (which might focus on changes), leaving some ambiguity in sibling differentiation.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention scenarios like retrieving known IDs versus searching for entities, or when to include posts, nor does it reference sibling tools like 'find_entities' for broader queries. This lack of context leaves usage unclear.

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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