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WebRTCGame

SQLite Project Memory MCP

by WebRTCGame

upsert_attributes

Create or update flexible metadata attributes for project entities in a centralized SQLite database, enabling AI agents to manage project memory and state through entity-relationship modeling.

Instructions

Create or update flexible metadata for an entity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entity_idYes
attributesYes
replaceNo

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 of behavioral disclosure. It mentions 'Create or update' which implies mutation, but fails to detail permissions, side effects, rate limits, or response behavior. This is inadequate for a mutation tool with zero annotation coverage, as critical behavioral traits are omitted.

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 front-loads the core action ('Create or update') without unnecessary words. It is appropriately sized for the tool's complexity, with zero wasted content, making it highly concise and well-structured.

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 tool has an output schema (which handles return values), no annotations, and 3 parameters with 0% schema coverage, the description is minimally complete. It states the purpose but lacks behavioral details and parameter explanations, making it adequate only because the output schema reduces the need for return value description, but gaps remain in usage and transparency.

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 description must compensate for undocumented parameters. It mentions 'flexible metadata' which hints at the 'attributes' parameter, but does not explain 'entity_id' or 'replace'. The description adds minimal meaning beyond the schema, partially addressing one of three parameters, resulting in a baseline score due to incomplete compensation.

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 ('Create or update') and resource ('flexible metadata for an entity'), making the purpose specific and understandable. However, it does not explicitly differentiate this tool from similar siblings like 'set_tags' or 'update_entity', which might also handle metadata or entity modifications, leaving some ambiguity in 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 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. With siblings like 'set_tags', 'update_entity', and 'upsert_entity' available, there is no indication of scenarios, prerequisites, or exclusions for choosing 'upsert_attributes', leaving the agent without usage context.

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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