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cellmath

create_cell

[PRIVATE WRITE] Register or create a new skill cell unit in CellMathEngine and vault.

Input Schema

NameRequiredDescriptionDefault
modeNoOptional knowledge mode
grainNoOptional temporal grain (default: durable)
valueNoOptional scalar value (string, number, boolean, or identifier)
cell_idYesUnique identifier for the cell
key_keywordYesPrimary keyword for cell matching
content_fullYesFull implementation/definition guidance text
extract_guidanceNoCompact <=2 sentence extraction caption
related_keywordsNoRelated keywords list

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. '[PRIVATE WRITE]' usefully discloses that this mutates state and may be access-restricted, but it says nothing about what happens on a duplicate cell_id (error versus overwrite), whether writes are atomic, how the vault versus the engine are kept consistent, or what permissions are required.

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?

A single front-loaded sentence with the privacy/mutation tag leading, which is exactly the right place for it. It is not padded, though it is arguably too short rather than too long.

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 an 8-parameter, 3-required mutation tool with no annotations and no output schema, the description omits everything an agent needs beyond field names: duplicate handling, failure modes, what is returned (e.g., whether the created cell or just an ack), and the relationship between the CellMathEngine entry and the vault entry.

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 all eight parameters are already documented in the schema, including the mode and grain enums. The description adds no meaning beyond that, which is acceptable per the baseline but earns no credit.

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

Purpose3/5

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

The verb ('Register or create') and resource ('a new skill cell unit in CellMathEngine and vault') are stated, and 'new' distinguishes it from modify_cell_configuration. But the domain terminology ('skill cell unit', 'vault') is unexplained, and no sibling tool is named, so the agent must infer the boundary from the name alone.

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?

There is no statement of when to use this versus alternatives such as add_knowledge_item, ingest, or modify_cell_configuration. The only usage signal is the '[PRIVATE WRITE]' prefix, which hints at restriction but does not say under what conditions the tool should or should not be invoked.

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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