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waystation-ai

WayStation MCP Server

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readOfficeDoc

Extract text content from Office documents by converting them from PDF format. Use this tool to retrieve document information for processing or analysis.

Instructions

Retrieves the content of a specific Office document as text, converted from PDF.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
docIdYesID of the Office document to read
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions conversion to text from PDF, which is useful behavioral context. However, it lacks details on permissions, rate limits, error handling, or output format specifics (e.g., text structure, encoding). For a read operation with no annotations, this leaves significant gaps.

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 a single, efficient sentence with no wasted words. It front-loads key information ('retrieves content') and includes essential details (conversion to text from PDF) without redundancy.

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?

Given no annotations and no output schema, the description is moderately complete for a simple read tool. It covers the core action and output format but lacks behavioral details like error cases or response structure. With 1 parameter and 100% schema coverage, it's adequate but could be more informative for agent usage.

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%, with the parameter 'docId' fully documented in the schema. The description adds no additional parameter semantics beyond what the schema provides, such as format examples or sourcing. Baseline 3 is appropriate since the schema handles parameter documentation adequately.

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 ('retrieves content'), resource ('Office document'), and output format ('as text, converted from PDF'). It distinguishes from siblings like 'listOfficeDocs' (listing) and 'searchOfficeDocs' (searching), though it doesn't explicitly contrast with 'readGoogleDoc' (different platform).

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?

No guidance on when to use this tool versus alternatives is provided. It doesn't mention prerequisites (e.g., document must exist), when not to use it (e.g., for binary files), or compare to similar tools like 'readGoogleDoc' for Google Docs versus Office documents.

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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