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Suggest Next Tools

suggest_next_tools
Read-onlyIdempotent

Predicts tools that typically follow a given tool based on usage patterns, helping streamline your workflow.

Instructions

Based on your usage patterns, suggest which tools typically follow a given tool.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
afterYesTool name to get suggestions for — e.g. 'today_events'
limitNoMax suggestions (default 5)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
afterYes
suggestionsYes
totalCallsYes
hintNo
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds that it uses 'usage patterns', which is useful context beyond the annotations. No contradiction.

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?

Single sentence, front-loaded with purpose, no wasted words. Perfectly concise and structured.

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 simple tool with two parameters and an output schema, the description is mostly sufficient. It covers the core functionality but doesn't mention the return format; however, the output schema likely fills that gap.

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%, so parameters are well-documented. The tool description itself does not add extra meaning to the parameters; the schema already provides examples and defaults. Baseline 3 is appropriate.

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?

Description clearly states the verb 'suggest' and the resource 'tools that typically follow a given tool'. It uses specific language ('based on your usage patterns') that distinguishes it from sibling tools like 'discover_tools' or 'find_related'.

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

Usage Guidelines3/5

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

The description implies usage for workflow planning but does not explicitly state when to use this tool vs alternatives (e.g., discover_tools for general discovery). No when-not or alternative guidance is provided.

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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