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Raheem-19

Serena MCP Server

by Raheem-19

think_about_collected_information

Evaluate gathered code search results to determine if information is sufficient and relevant for your task. Use after non-trivial search sequences to decide next steps.

Instructions

Think about the collected information and whether it is sufficient and relevant. This tool should ALWAYS be called after you have completed a non-trivial sequence of searching steps like find_symbol, find_referencing_symbols, search_files_for_pattern, read_file, etc.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description must disclose behavior, but it only describes the thinking action itself. It does not state whether the tool has side effects, what it returns, or how the assessment should influence subsequent actions. This is partially mitigated by the simplicity of a no-op cognitive tool.

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?

The description is two sentences, front-loaded with the core purpose, and the usage guidance is concise with concrete examples. No wasted words.

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?

Given zero parameters, an output schema, and a simple cognitive purpose, the description is sufficiently complete. It explains the trigger condition and the evaluation criteria, making the tool usable in a workflow.

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?

The tool has zero parameters and schema coverage is 100%, so the baseline is 4. The description accurately conveys that the tool acts on already-collected information, adding context beyond the empty schema.

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 clearly states the tool's purpose: to assess whether collected information is sufficient and relevant. It distinguishes itself from sibling thinking tools by focusing on 'collected information' rather than task adherence or completion.

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?

The description provides explicit guidance on when to call this tool: ALWAYS after a non-trivial sequence of search steps. However, it does not mention when not to use it or name alternative tools for similar reflection.

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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