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soil-dev

capsulemcp

get_projects

Read-only

Batch-fetch up to 50 projects by ID. Automatically splits larger requests into 10-ID chunks for parallel retrieval.

Instructions

Batch-fetch up to 50 projects (cases) by ID. For 1–10 ids this is a single Capsule round trip; for 11–50 ids the connector transparently splits into 10-id chunks and fans out parallel Capsule requests, so the caller sees a single tool call with all results merged.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idsYesArray of project IDs (1–50). Capsule's native batch-fetch endpoint caps at 10 per request; the connector transparently splits larger sets into 10-id chunks and fans out the Capsule calls in parallel.
embedNoComma-separated embeds, e.g. 'tags,fields'
Behavior5/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds significant behavioral context: transparent splitting into 10-id chunks, parallel fan-out, and merged results. This goes well beyond the annotations.

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?

Two sentences, front-loaded with the core purpose. No wasted words; every sentence earns its place by explaining both the operation and the internal behavior.

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

Completeness4/5

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

No output schema is provided, but the description explains the result merging. It does not detail the return format (e.g., list of project objects). However, for a read-only batch-fetch with well-specified parameters, it is largely complete.

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

Parameters4/5

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 meaningful context to the 'ids' parameter (batching logic) and provides an example for 'embed'. It enhances understanding beyond the schema descriptions.

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 tool batch-fetches up to 50 projects by ID, explicitly naming 'projects (cases)' and describing the batching behavior. This distinguishes it from siblings like get_project (single) and list_projects (list all).

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

Usage Guidelines3/5

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

The description explains the batching behavior for different ID ranges but does not explicitly state when to use this tool versus alternatives like list_projects or filter_projects. It provides clear context but lacks exclusions or comparisons.

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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