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peaka-mcp-server

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by peakacom

peaka_refresh_project_metadata

Refreshes catalog metadata to reflect structural changes like new tables or columns. Triggers asynchronously; poll status for completion.

Instructions

Refresh project metadata for a specific catalog. This is a long-running operation that should only be used when a data source has structurally changed (e.g. new tables or columns added). Triggers the refresh asynchronously and returns immediately; it does not wait for completion. Poll peaka_get_metadata_refresh_status to track progress until it reports COMPLETED or FAILED.

If you do not already know the projectId for the current task, call peaka_list_projects first and ask the user which project to use. Remember the chosen projectId for subsequent calls in this conversation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
catalogIdYesThe catalog ID to refresh metadata for.
projectIdYesThe Peaka project ID to run against.
Behavior5/5

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

Discloses key behaviors beyond annotations: asynchronous execution, long-running, returns immediately, and need to poll status. Annotations only indicate non-readOnly and non-destructive, so description adds significant value.

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?

Concise two-paragraph structure with front-loaded purpose and behavior, followed by usage tips. No redundant sentences; every sentence is informative.

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?

While the description covers trigger and polling, it does not specify the return value (e.g., whether it returns a refresh ID). Given no output schema, this omission slightly reduces completeness.

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 coverage is 100%, so baseline is 3. The description adds practical guidance (e.g., ask user for projectId) but does not add new semantic meaning beyond what the schema provides.

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

Purpose5/5

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

The description clearly states the action ('Refresh project metadata for a specific catalog') and resource, distinguishing it from sibling tools by emphasizing its asynchronous, long-running nature.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states when to use ('only when a data source has structurally changed'), when not to use (implied not for routine), and provides step-by-step guidance on prerequisite calls and polling status.

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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