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WebRTCGame

SQLite Project Memory MCP

by WebRTCGame

get_entity

Retrieve project entities with associated metadata, content, and events from a centralized SQLite database to maintain consistent project memory and state management.

Instructions

Fetch an entity and optionally include related metadata, content, and events.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entity_idYes
include_relatedNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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. It mentions fetching and optional inclusion of metadata, content, and events, but doesn't disclose critical behaviors such as authentication requirements, rate limits, error handling, or whether it's a read-only operation. This leaves significant gaps for a tool that likely interacts with a database or API.

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, efficient sentence that front-loads the main action ('Fetch an entity') and adds optional details. There's no wasted wording, though it could be slightly more structured by explicitly listing the related data types.

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?

Given the complexity of fetching an entity with optional related data, no annotations, and an output schema (which reduces the need to describe return values), the description is minimally adequate. However, it lacks details on permissions, data formats, and error cases, which are important for a tool in a server with many data manipulation siblings.

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?

Schema description coverage is 0%, so the schema provides no parameter descriptions. The description adds some value by explaining that 'include_related' controls metadata, content, and events, but it doesn't clarify the format or scope of 'entity_id' or the default behavior when 'include_related' is true. This partial compensation results in a baseline score.

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

Purpose3/5

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

The description states the tool fetches an entity and optionally includes related data, which clarifies the basic action. However, it doesn't specify what type of entity (e.g., project, task, document) or distinguish it from similar sibling tools like 'get_entity_graph' or 'resolve_entity_by_name', making it somewhat vague.

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. With many sibling tools like 'list_entities', 'get_entity_graph', and 'resolve_entity_by_name', the description lacks any context for selection, leaving the agent to infer usage based on the name alone.

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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