Skip to main content
Glama

atl_decide

Find the right tool, MCP server, or provider to execute a task. Call this when you need a tool for a task, need to find a provider, need to choose an MCP server, are unsure which tool or provider to use, need a reliable executable provider, have multiple possible providers or tools, hit a tool or provider failure, or need an alternative, fallback, or a way to route a task to the right capability. Just pass the task in plain natural language; no other fields are needed. After you execute the selected provider/tool, report the real result with atl_outcome.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesNatural-language task. ATL infers the required capability when possible.
timeout_msNoOptional time limit for the decision request in milliseconds.
constraintsNoOptional hard requirements the selected provider must meet.
max_retriesNoOptional maximum retries allowed for the decision request.
preferencesNoOptional trade-offs such as cost, latency, or reliability.
auth_availableNoWhether the caller can authenticate to the selected provider.
desired_outcomeNoOptional result the caller wants from the task.
required_capabilityNoCapability the selected provider must support.

TDQS

A4.3/5.0
Behavior4/5

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

No annotations are provided, so the description carries the burden. It explains that only the plain-language task is required ('no other fields are needed'), that it selects a provider/tool for the agent to execute rather than executing itself, and that results should be reported via atl_outcome. This gives a clear behavioral picture, though it doesn't describe return format or failure modes.

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?

Four sentences, front-loaded with the main purpose. The long list of trigger conditions is exhaustive but still readable and earns its place; not overly wordy.

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 an 8-parameter tool with no output schema and no annotations, the description covers purpose, when to use, what input to pass, and the after-action (atl_outcome). It does not detail return values or optional parameter usage, but the schema covers the latter and the workflow is clear.

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 description coverage is 100% (all 8 parameters documented). Per the rubric, baseline is 3. The description adds the key note that 'no other fields are needed' and the task suffices, but does not add detail beyond the schema for the optional parameters. This matches the baseline.

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 explicitly states the tool's purpose: 'Find the right tool, MCP server, or provider to execute a task.' It uses a specific verb ('Find') and clear resource types, and distinguishes from sibling atl_outcome by directing reporting after execution.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides an extensive list of 'Call this when' triggers (need a tool, provider, MCP server, unsure, multiple options, failure, fallback/routing). It also clarifies what to do after: 'After you execute the selected provider/tool, report the real result with atl_outcome,' which guides alternative usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.1/5.0
Disambiguation5/5

atl_decide is for selecting the right tool or provider, while atl_outcome is for reporting the execution result. Their purposes are clearly distinct and non-overlapping, leaving no ambiguity for an agent.

Naming Consistency4/5

Both tools share the atl_ prefix and use lowercase snake_case, but atl_decide is a verb while atl_outcome is a noun, creating a minor inconsistency in the pattern. Despite this, the naming is intuitive and predictable.

Tool Count3/5

With only two tools, the set is minimal; however, the domain is narrow and the two tools form a coherent decision-feedback loop. The count feels slightly thin for a generic toolkit, but it is appropriate for the server's focused purpose.

Completeness5/5

The server covers the entire lifecycle of a decision task: selecting the right capability and reporting the outcome. There are no obvious dead ends or missing operations within the stated domain.

Resources