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danielsimonjr

Enhanced Knowledge Graph Memory Server

execute_saved_search

Run a stored search query by name to retrieve knowledge graph data with timestamps, tags, and importance levels from persistent memory storage.

Instructions

Execute a previously saved search by name

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName of the saved search
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the action ('Execute') but does not explain what execution entails—e.g., whether it runs a search query, returns results, modifies data, or has side effects like logging. For a tool with zero annotation coverage, this leaves critical behavioral traits unspecified.

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 a single, efficient sentence that front-loads the core action without unnecessary words. It directly communicates the tool's function, making it easy to parse and understand quickly, with no wasted verbiage.

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

Completeness2/5

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

Given the lack of annotations and output schema, the description is incomplete. It does not address what the tool returns (e.g., search results, status), potential errors (e.g., if the saved search doesn't exist), or behavioral details like execution effects. For a tool with no structured data to supplement it, the description falls short in providing necessary context for effective use.

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?

The input schema has 100% description coverage, with the 'name' parameter fully documented in the schema. The description adds no additional meaning beyond implying the parameter refers to a saved search name, which is already clear from the schema. This meets the baseline score of 3, as the schema adequately covers parameter semantics without extra value from the description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Execute') and resource ('a previously saved search by name'), making the tool's purpose evident. However, it does not differentiate from sibling tools like 'list_saved_searches' or 'save_search', which reduces specificity. The description avoids tautology by not merely restating the tool name.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives, such as 'list_saved_searches' for viewing saved searches or 'save_search' for creating them. It lacks context about prerequisites (e.g., needing a saved search to exist) or exclusions, leaving usage unclear beyond the basic action stated.

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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