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Claude Desktop Commander MCP

get_more_search_results

Read-only

Retrieve paginated search results from an ongoing search session. Use offset to start from a specific index or read the last N results.

Instructions

                    Get more results from an active search with offset-based pagination.
                    
                    Supports partial result reading with:
                    - 'offset' (start result index, default: 0)
                      * Positive: Start from result N (0-based indexing)
                      * Negative: Read last N results from end (tail behavior)
                    - 'length' (max results to read, default: 100)
                      * Used with positive offsets for range reading
                      * Ignored when offset is negative (reads all requested tail results)
                    
                    Examples:
                    - offset: 0, length: 100     → First 100 results
                    - offset: 200, length: 50    → Results 200-249
                    - offset: -20                → Last 20 results
                    - offset: -5, length: 10     → Last 5 results (length ignored)
                    
                    Returns only results in the specified range, along with search status.
                    Works like read_process_output - call this repeatedly to get progressive
                    results from a search started with start_search.
                    
                    This command can be referenced as "DC: ..." or "use Desktop Commander to ..." in your instructions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sessionIdYes
offsetNo
lengthNo
Behavior5/5

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

The description details offset behavior (positive/negative), length handling, return content (results + status), and reusability, going well beyond the readOnlyHint annotation. No contradictions with annotations.

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?

The description is well-structured with separate sections for purpose, parameter rules (bulleted), and examples. It is slightly lengthy but every sentence adds value. Could be marginally trimmed.

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

Completeness5/5

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

Given the complexity of offset-based pagination and no output schema, the description thoroughly explains usage patterns, return values, and connection to sibling tools, making it self-contained.

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

Parameters5/5

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

With 0% schema description coverage, the description fully compensates by explaining offset and length semantics with examples (e.g., negative offset for tail, length ignored for negative), and implicitly covers sessionId as required.

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 'Get more results from an active search with offset-based pagination,' specifying the verb (get), resource (results), and mechanism (pagination), distinguishing it from siblings like start_search or stop_search.

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 explains the tool is used after start_search and compares it to read_process_output, providing clear context. It does not list explicit alternatives or when-not-to-use, but the usage scenario is well-defined.

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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