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Automatic Video Face & Person Masking MCP with Original Restore (Reversible) — NoonAI DIS

upload_file_content

Upload base64 image/video content for remote MCP clients that cannot share server file paths.

Returns the same asset_id contract as upload_file. Use that id with submit_encrypt_job for face-only blur/redaction, body masking, or plate masking. The raw base64 content is written only to a temporary file and is not included in audit events.

Input Schema

NameRequiredDescriptionDefault
file_nameYes
file_typeNo
file_base64Yes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It usefully discloses that content goes only to a temporary file and is excluded from audit events, but says nothing about size limits, supported formats, permissions, or failure modes for a write operation.

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 tight sentences, front-loaded with purpose before the usage condition and the downstream id contract. No filler.

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?

An output schema exists, so the mention of the returned asset_id is bonus rather than necessity. However, missing format/size constraints and the meaning of file_type leave real gaps for an upload tool with zero annotation and zero schema-description coverage.

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

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% across 3 params. The description only implicitly covers file_base64 ('base64 image/video content'); file_name and file_type (default "", no enum, no description) remain unexplained, so an agent cannot infer valid values for file_type.

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?

States a specific verb and resource ('Upload base64 image/video content') plus the exact scope condition distinguishing it from sibling upload_file: clients that cannot share server file paths. An agent can select between the two upload variants without opening either schema.

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?

Gives the selecting condition for this tool versus upload_file (no shared file path) and names the downstream consumer, submit_encrypt_job. It does not explicitly say 'use upload_file when you do have a path', so the routing is implied rather than enumerated.

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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