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informatics-isi-edu

Deriva MCP Server

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set_execution_description

Set or update an execution's description in the catalog to document what it accomplished and any notable results, using its RID and new description text.

Instructions

Set or update the description for an execution.

Updates the execution's description in the catalog. Good descriptions help users understand what the execution accomplished and any notable results.

Args: execution_rid: RID of the execution to update. description: New description text.

Returns: JSON with status, execution_rid, description.

Example: set_execution_description("2-XYZ", "Training run with lr=0.001, achieved 95% accuracy")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
descriptionYes
execution_ridYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the burden of disclosure. It clearly states the update action and the JSON return format, and provides an example. However, it does not mention overwrite semantics, permissions, or potential side effects, leaving some behavioral details unspecified.

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 well-structured with clear Args, Returns, and Example sections. Every sentence adds value—there is no redundant or vague filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

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

Given that an output schema exists and the tool is simple, the description covers the essential aspects: purpose, parameters, return type, and a practical example. It is complete for an agent to select and invoke correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description fully compensates by describing each parameter ('execution_rid: RID of the execution to update', 'description: New description text') and giving a concrete example that shows parameter format and usage.

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 starts with 'Set or update the description for an execution,' which clearly identifies the verb and resource. It distinguishes itself from sibling description setters (e.g., set_dataset_description, set_workflow_description) by explicitly targeting executions.

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

Usage Guidelines4/5

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

The description explains that good descriptions help users understand what the execution accomplished, providing context for when to use the tool. It does not explicitly name alternatives or exclusions, but the intent is clear.

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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