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199-mcp
by 199-mcp

add_knowledge_base_to_agent

Enhance agent capabilities by integrating documents or information sources to expand its knowledge base for improved responses.

Instructions

Adds knowledge to agent. Returns: knowledge base ID. Use when: giving agent access to documents or information.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idYes
knowledge_base_nameYes
urlNo
input_file_pathNo
textNo
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions the return value ('Returns: knowledge base ID') but doesn't describe mutation behavior (this is clearly a write operation), permission requirements, rate limits, error conditions, or what happens when multiple knowledge sources are provided. For a tool with 5 parameters that modifies agent configuration, this is insufficient.

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 appropriately concise with three clear components: action, return value, and usage context. It's front-loaded with the primary purpose. Every sentence earns its place, though the structure could be slightly improved by explicitly separating the three components.

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 5 parameters with 0% schema coverage, no annotations, and no output schema, the description is incomplete. It doesn't explain parameter relationships (e.g., whether url, input_file_path, and text are mutually exclusive or can be combined), doesn't describe the mutation's side effects, and provides minimal guidance on the knowledge base creation process. For a tool that modifies agent capabilities, this leaves significant gaps.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It mentions 'documents or information' which hints at the url/input_file_path/text parameters, but doesn't explain their relationships, exclusivity, or how they map to knowledge base creation. The description doesn't address agent_id or knowledge_base_name parameters at all. With 5 parameters completely undocumented in schema, the description adds minimal semantic value.

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's purpose: 'Adds knowledge to agent' specifies the verb and resource. It distinguishes from siblings by focusing on knowledge base attachment rather than agent creation or conversation management. However, it doesn't explicitly differentiate from potential knowledge-related tools that might exist (though none are listed among siblings).

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 usage context: 'Use when: giving agent access to documents or information.' This gives clear guidance on when to invoke this tool. However, it doesn't mention alternatives or exclusions (e.g., when not to use it, or how it differs from other knowledge management approaches).

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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