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add_element

Add a new element/component to a project (e.g. hardware component, software library, source, concept)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoLink to documentation, repo, datasheet, etc.
kindYesType/category, freely chosen (e.g. "hardware", "software", "source", "concept", "service", "tool", "person")
nameYesElement name
projectIdYesProject ID
propertiesNoFlexible key-value pairs for additional properties
descriptionNoDescription

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It mentions the mutation ('add') but does not describe side effects, whether duplicates are allowed, required relationship to an existing project, or what happens on success/failure. For a creation tool with no annotations, this is a significant transparency gap.

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 sentence that starts with the action and object, then gives illustrative examples. There is no filler or redundant restatement, making it highly efficient 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?

With no annotations, no output schema, and a nested properties parameter, the description is too minimal to fully prepare an agent to call the tool correctly. It does not explain what the tool returns, how the project relationship is handled, or how the flexible 'properties' object should be used in practice.

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 parameters are already documented in the schema. The description's examples ('hardware component, software library, source, concept') map to the kind parameter but essentially duplicate the examples already present in the schema. It adds little meaning beyond what the schema provides.

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 the action ('Add') and resource ('a new element/component to a project'), and provides concrete examples of what counts as an element. This distinguishes it from sibling tools like add_knowledge or create_project, which target different resource types.

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 gives clear context for when to use the tool: when adding an element/component to a project. It does not explicitly state alternatives or when-not-to-use conditions, but the boundary between adding an element and other operations is reasonably clear given the sibling names and the focused description.

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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