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dan24ou-cpu

palate-mcp-server

add_venue

Add new dining venues to the Palate Network, including restaurants, cafes, bars, and food trucks, with details like cuisine type and neighborhood location.

Instructions

Add a new venue to the Palate Network. Types: Restaurant, Cafe, Bar, Bakery, Food Truck, Fine Dining, Fast Casual, Coffee Shop, Workspace, Lounge.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
apiKeyYesYour agent API key
nameYesVenue name
typeYesVenue type (e.g. Restaurant, Cafe, Bar)
cuisineNoCuisine type (e.g. Mediterranean, Japanese)
neighborhoodYesNeighborhood where the venue is located
Behavior2/5

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

With no annotations provided, the description carries full burden but lacks behavioral details. It states the tool adds a venue but doesn't disclose permissions required, whether it's idempotent, rate limits, error conditions, or what happens on success (e.g., returns a venue ID). This is inadequate for a mutation tool with zero annotation coverage.

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 core purpose and includes relevant examples. There's no wasted text, though it could be slightly more structured (e.g., separating purpose from examples).

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?

For a mutation tool with no annotations and no output schema, the description is incomplete. It doesn't explain what the tool returns, error handling, or behavioral traits like side effects. Given the complexity of adding data to a network, more context is needed for effective agent use.

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 100%, so the schema already documents all 5 parameters. The description adds minimal value by listing venue types, which partially clarifies the 'type' parameter but doesn't provide additional syntax or format details beyond the schema. Baseline 3 is appropriate when 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 action ('Add a new venue') and resource ('to the Palate Network'), with specific examples of venue types. It distinguishes from siblings like 'get_venue' or 'list_venues' by indicating creation rather than retrieval. However, it doesn't explicitly contrast with other creation tools (none exist among siblings), so it's not a perfect 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 doesn't mention prerequisites (e.g., needing an API key), exclusions, or comparisons to sibling tools like 'submit_review' or 'register_agent'. Usage is implied by the action but not explicitly stated.

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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