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alopez3006

snipara-mcp

by alopez3006

rlm_upload_shared_document

Upload or update a shared document to store team best practices, coding standards, playbooks, and guidelines in a categorized, prioritized collection for AI agents.

Instructions

Upload or update a document in a shared context collection. Use for team best practices, coding standards, business playbooks, reusable examples, and guidelines. Requires Team plan or higher.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
collection_idYesThe shared collection ID
titleYesDocument title
contentYesDocument content (markdown)
categoryNoDocument category for token budget allocationBEST_PRACTICES
tagsNoTags for filtering and organization
priorityNoPriority within category (higher = more important)
Behavior3/5

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

No annotations are present, so the description carries the full burden. It indicates an upsert-like behavior ('Upload or update') but doesn't clarify if updates are full replacements or partial, nor does it mention error cases or rate limits.

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 with no redundancy. Action and use cases are front-loaded. Efficient and clear.

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?

For a tool with 6 parameters and no output schema, the description lacks details on return values, error conditions, or the effect of updates. It covers the core purpose and usage but leaves behavioral gaps.

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% and the description does not add any parameter-specific meaning beyond the schema. Baseline 3 is appropriate.

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 uploads/updates a document in a shared context collection and lists concrete use cases (best practices, coding standards). However, it does not explicitly differentiate from sibling tools like rlm_upload_business_document or rlm_upload_document.

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?

Provides explicit usage scenarios and a requirement (Team plan or higher). Lacks guidance on when not to use it or which alternative upload tool to prefer.

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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