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Get a transcript upload command

get_transcript_upload_command
Read-onlyIdempotent

Return a curl upload command as text for a prepared local transcript copy. The caller runs the command in the user's terminal to send the copy to FounderBrain. This tool only constructs the command; it does not open a terminal, read the file, upload data or execute anything.

    path: the full local path of a temporary plain-text copy prepared by the client, containing only speaker turns
    with restricted information removed before upload. The tool does not inspect or clean the file.
    speaker, name and role: the speaker label to analyse, the person's display name when the
    label is generic, and "answering" or "asking". Without a speaker the command only lists the speakers and their
    word counts.

Input Schema

NameRequiredDescriptionDefault
nameNo
pathYes
roleNoanswering
speakerNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior5/5

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

Goes well past the annotations (readOnly/idempotent/non-destructive) by ruling out side effects the agent might otherwise fear: it does not open a terminal, read the file, upload data, or execute anything, and does not inspect or clean the file. It also discloses the conditional output mode when speaker is omitted, which is genuine behavior an agent needs before calling.

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?

Front-loaded with the one-sentence purpose, followed by a boundary statement and then parameter meaning — a sensible order with no filler. The ragged line breaks and indentation make it slightly harder to scan than it needs to be.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present, the description correctly avoids describing return values and instead covers the intent, boundaries, and all four parameters. Nothing needed to call it correctly is missing.

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 coverage is 0%, so the description carries the full burden and largely meets it: it defines path's expected contents and provenance, constrains role to 'answering' or 'asking' (information absent from the schema, which has no enum), and explains speaker/name as a fallback pair for generic labels. It omits that name/speaker/role are optional with defaults, leaving that to the schema.

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 output ('Return a curl upload command as text') for a specific resource ('a prepared local transcript copy'), and sharply bounds the behavior ('only constructs the command'). It never names the sibling tools (analyse_transcript, check_transcript), so the agent must infer the workflow position rather than being told directly.

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 a clear usage context: 'The caller runs the command in the user's terminal to send the copy to FounderBrain', plus a conditional behavior hint ('Without a speaker the command only lists the speakers and their word counts') that helps the agent decide whether to supply a speaker. It stops short of explicit when-not-to-use conditions or naming the sibling tools as alternatives.

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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