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Spider-Chat

spiderchat-mcp-server

Official
by Spider-Chat

search_facts

Search stored user facts by query, with optional filters for fact type and minimum importance score.

Instructions

Search user facts

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query
factTypeNoFilter by fact type (identity, professional, relationships, interests, learning, projects, goals, mood_pattern, activity_pattern, preference)
minImportanceNoMinimum importance score (1-10)
Behavior1/5

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

With no annotations, the description must disclose behavioral traits, but it only says 'search user facts' with no information about result formats, pagination, permissions, or side effects. This is insufficient for an agent to understand the tool's behavior.

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 extremely concise at one sentence, with no filler. However, it's arguably too short to convey necessary behavioral information, but that's a completeness issue, not a structure issue. For structure, it's well-formed and front-loaded.

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?

The description is minimal and doesn't explain what a 'fact' is, how search behaves, or what the agent should expect in return. With no output schema and no annotations, this is inadequate for reliable invocation, especially given sibling search tools with subtle differences.

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 covers all three parameters with descriptions. The tool description adds no additional parameter semantics, but since coverage is 100%, the baseline 3 is warranted.

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 tool searches user facts, with a specific verb and resource. It doesn't explicitly differentiate from sibling search tools, but the resource 'user facts' is distinct from flows and memories, so it's clear enough.

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 sibling search tools like search_flows or search_memories. There is no context about typical use cases or exclusions.

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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