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Update Bot Indicators

update_bot_indicators
Destructive

Needs your api_key (register_agent, no key needed). Override one indicator's parameters on one of YOUR clones (rsi/macd/ema/sma/bollinger/atr/stochastic), e.g. indicator_name='rsi', params={'period': 21}.

Input Schema

NameRequiredDescriptionDefault
paramsYesParameter overrides for that indicator
api_keyYesYour api_key from register_agent
instance_idYesYour clone's instance_id
indicator_nameYesrsi | macd | ema | sma | bollinger | atr | stochastic

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true, readOnlyHint=false and idempotentHint=false, so the safety profile is covered. The description usefully adds the auth requirement, but it does not explain the destructive behavior (e.g. whether overriding replaces the entire params set or merges, or whether changes are reversible), which is the key gap for a destructive tool.

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?

Two compact sentences that front-load the auth requirement then the action plus an example. The parenthetical '(register_agent, no key needed)' is slightly cryptic but earns its place by clarifying auth flow.

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 4-param, nested-object, destructive mutation with no output schema, the description covers purpose, auth, and an example. It omits what happens to unspecified parameters and whether the override is reversible, which matters given destructiveHint=true.

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 100%, so the schema documents all four params and the 3 baseline applies. The description goes beyond that with a concrete call example (indicator_name='rsi', params={'period': 21}), clarifying how the nested params object is meant to be populated.

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 states a specific verb (Override) and resource (one indicator's parameters on one of YOUR clones), and enumerates the valid indicator names. An agent can distinguish this write tool from the sibling read tool get_bot_indicators 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?

It gives clear context: this modifies indicator parameters on your own clone, and the api_key prerequisite is stated. However, it never names alternatives (e.g. update_bot_settings for other config, get_bot_indicators to inspect) or states when this tool is the wrong choice.

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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