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Algo Trade Analytics

Record MCP Research Task Progress

ata_record_research_task_progress

Append a bounded methodology task-progress note to the active Algo Agent research notebook. Use after planning or gate work so the platform ledger can show what the external MCP client did.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gateIdNo
statusYes
taskIdYes
detailsNo
summaryYes
trialIdNo
nextToolNo
toolNameNo
evidenceIdNo
caseStudyIdNo
researchRunIdNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

With readOnlyHint=false and idempotentHint=false, the append action is consistent with annotations and adds useful detail: each call appends a bounded note to an active notebook and is visible in the platform ledger. It does not cover failure modes or duplicate behavior, but annotations already establish the safety profile.

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?

Two sentences with no filler; the verb+resource is front-loaded and the usage guidance occupies the second sentence. Every sentence earns its place.

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

Completeness2/5

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

Despite clear purpose and timing, the tool has 11 parameters, no output schema, and no parameter descriptions. The description leaves the agent without guidance on which optional identifiers to supply, how status/detail/summary relate, or what the call returns.

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

Parameters1/5

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

Schema description coverage is 0% and the description names none of the 11 parameters, including the three required fields. Even the status enum and optional relationship parameters (gateId, trialId, researchRunId, evidenceId) receive no semantic explanation.

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?

The description uses a specific verb and object: 'Append a bounded methodology task-progress note to the active Algo Agent research notebook.' It names the exact artifact and context, and this action is distinct from sibling get/start/cancel/analysis tools.

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?

It gives an explicit call-window: 'Use after planning or gate work,' and explains the purpose ('so the platform ledger can show what the external MCP client did'). It does not state exclusions or alternatives, so it stops short of a 5.

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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