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danielsimonjr

Enhanced Knowledge Graph Memory Server

save_search

Store search queries with parameters like tags and importance levels for future retrieval in the Enhanced Knowledge Graph Memory Server.

Instructions

Save a search query for later reuse

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName of the saved search
queryYesSearch query
tagsNoOptional tags filter
minImportanceNoOptional minimum importance
maxImportanceNoOptional maximum importance
searchTypeNoType of search (basic, boolean, fuzzy, ranked)
descriptionNoOptional description of the search
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool saves a search query but doesn't explain what 'save' entails operationally—whether it creates a permanent record, requires specific permissions, returns an ID, or has any side effects. This is inadequate for a mutation tool with zero annotation coverage.

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, clear sentence with no wasted words. It's front-loaded with the core purpose and efficiently communicates the essential function without unnecessary elaboration.

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?

For a mutation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what happens after saving (e.g., returns a saved search ID), how saved searches are stored/accessed, or potential errors. Given the complexity implied by 7 parameters and the lack of structured metadata, more context is needed.

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 the schema already documents all 7 parameters thoroughly. The description adds no additional parameter information beyond what's in the schema, which meets the baseline expectation when schema coverage is high.

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 ('save') and resource ('search query for later reuse'), making the purpose immediately understandable. It doesn't explicitly differentiate from sibling tools like 'update_saved_search' or 'list_saved_searches', but the verb 'save' implies creation rather than modification or listing.

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 like 'update_saved_search' or 'execute_saved_search'. There's no mention of prerequisites, constraints, or typical use cases beyond the basic purpose statement.

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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