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ViratGarg2

ElasticMind-MCP

by ViratGarg2

ingest_pdfs

Process PDF documents from an input folder to create a searchable knowledge base for semantic querying and retrieval.

Instructions

Takes all documents currently in input folder and creates output.json to process them add them to index to enable knowledge base powered querying.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It describes a write operation (creating output.json and adding to an index) but lacks details on permissions, side effects, error handling, or rate limits. This is a significant gap for a tool that modifies data without safety annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and structured into two sentences that efficiently convey the tool's action and purpose. However, it could be slightly more front-loaded by starting with the primary goal (enabling knowledge base querying) rather than the procedural steps.

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 the tool has an output schema (which handles return values) and no parameters, the description is minimally adequate. However, as a write operation with no annotations, it lacks completeness in explaining behavioral traits like data mutation effects or integration with sibling tools, leaving gaps for safe agent use.

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?

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description adds context by implying the tool operates on documents in an input folder, which is useful semantic information beyond the empty schema. Baseline is 4 for zero parameters.

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's purpose: it processes documents from an input folder to create an output.json file and adds them to an index for knowledge base querying. It specifies the verb ('takes', 'creates', 'adds') and resource ('documents', 'output.json', 'index'), but does not explicitly differentiate from sibling tools like 'add_text_to_index' or 'index_documents', which may have overlapping functions.

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?

The description provides no guidance on when to use this tool versus alternatives such as 'add_text_to_index' or 'index_documents'. It mentions the tool's action but does not specify prerequisites, exclusions, or comparative contexts, leaving the agent to infer usage based on tool names alone.

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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