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upload_quality_file

Upload the ACTUAL original UTF-8 flat csv/jsonl file, at most 10 MiB/50,000 records/100 fields. Stored 24h. A profile/summary/URL/server path cannot stand in for a complete file.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "content": "<content>",
      "format": "<format>"
    },
    "name": "upload_quality_file"
  }
}

Input Schema

NameRequiredDescriptionDefault
formatYes
contentYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=false, and openWorldHint=false, so safety is partially covered. The description adds genuinely new behavior: hard limits of 10 MiB / 50,000 records / 100 fields and a 24-hour storage lifetime, which tells the agent the upload is temporary and bounded. It does not describe validation failures or what identifier comes back.

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?

Three short sentences, front-loaded with the core instruction, then limits, then the anti-substitution warning. Every clause carries information and nothing is padded.

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 two-parameter mutation tool with no output schema, the description covers inputs and storage lifetime well but never says what the call returns (a file/upload identifier) or how that identifier is used downstream. An agent can call it correctly but cannot plan the next step from the description alone.

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 description coverage is 0%, so the description carries the full burden and largely does: the 'csv/jsonl' wording effectively enumerates the accepted `format` values even though the schema has no enum, and the size/record/field caps plus the anti-substitution rule define what `content` must be. It still does not say whether `content` is the raw file text encoded inline or base64, which is the one ambiguity left.

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?

States a specific verb and resource (upload the original UTF-8 flat csv/jsonl file) plus hard constraints on size and shape, so the agent knows exactly what operation is performed. It does not name any sibling tool, so differentiation from the surrounding quality workflow tools is left implicit.

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 a strong usage constraint in the negative: a profile, summary, URL, or server path cannot substitute for a complete file, which tells the agent what input is invalid. It stops short of stating when in the workflow this must be called (e.g., before starting or checking a quality job) or naming alternatives, so it is clear context rather than full routing guidance.

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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