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get_guide
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Step-by-step instructions, with the exact button names, for one task on iomarkets.ai. Without a task, lists the tasks.

Input Schema

NameRequiredDescriptionDefault
taskNoWhich task. Leave out to list them all.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / task / enum
      Previous value: -[
      -  "look-around",
      -  "verify-proof",
      -  "console",
      -  "runs",
      -  "verify-receipt",
      -  "audit-trail",
      -  "request",
      -  "own-assistant"
      -]New value: +[
      +  "look-around",
      +  "verify-proof",
      +  "console",
      +  "runs",
      +  "verify-receipt",
      +  "audit-trail",
      +  "request",
      +  "review-pack",
      +  "pilot",
      +  "cost",
      +  "own-assistant"
      +]
  2. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds genuinely useful behavioral context beyond that: the output is step-by-step with exact UI button names, and the no-argument path returns an enumeration rather than erroring. It doesn't discuss guide length or what a listing entry contains.

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, zero filler. The primary behavior is front-loaded and the fallback case follows immediately, so the agent reads the decision-relevant facts first.

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

Completeness4/5

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

For a one-optional-param read tool with no output schema and annotations covering safety, this is nearly complete: the agent knows what it gets, what shape it takes, and what happens with no argument. Minor residual gap is guide length/coverage of the 11 tasks, which is low stakes.

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

Parameters3/5

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

Schema coverage is 100% with the enum's own description already saying "Leave out to list them all." The description's "Without a task, lists the tasks" restates that, adding almost nothing beyond the schema; the enum values themselves carry the task semantics. Baseline 3 applies.

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?

Names a specific verb+resource (fetch step-by-step instructions for one task on iomarkets.ai) and states both operating modes: a single task guide, or a task list when no task is supplied. That dual-mode framing makes it clearly distinct from siblings like get_overview or explain_term without needing to name them.

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?

"Without a task, lists the tasks" tells the agent exactly how to use the omittable parameter as a discovery path, and "for one task" frames the primary case. It stops short of naming alternatives (e.g. explain_term for glossary lookups) or stating when not to reach for this tool.

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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