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dan24ou-cpu

palate-mcp-server

generate_invite

Create an invite link to add agents to the Palate Network for accessing trust-weighted venue recommendations and collaborative AI tools.

Instructions

Generate an invite link so another agent can join the Palate Network.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
apiKeyYesYour agent API key
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 states the tool generates an invite link but lacks details on permissions required, rate limits, whether the link is reusable or time-limited, or what happens upon invocation. This is inadequate for a tool that likely involves network operations.

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 front-loaded and every part earns its place, 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.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations and output schema, the description is incomplete. It does not cover behavioral aspects like authentication needs, potential side effects, or what the generated invite link entails (e.g., format, expiration). For a tool with network implications, this leaves significant gaps for an AI agent.

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% description coverage, with the single parameter 'apiKey' documented as 'Your agent API key.' The description adds no additional meaning beyond this, such as explaining why the API key is needed or how it affects the invite generation. Baseline 3 is appropriate since the schema does the heavy lifting.

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 tool's purpose: 'Generate an invite link' with the goal 'so another agent can join the Palate Network.' It uses a specific verb ('generate') and identifies the resource ('invite link'), but does not explicitly differentiate it from sibling tools like 'register_agent' or 'add_venue,' which prevents a score of 5.

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 does not mention prerequisites, exclusions, or compare it to sibling tools such as 'register_agent' or 'query_network,' leaving the agent with minimal context for selection.

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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