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Entalpa Requirements MCP

Projects Create

projects_create

Create a new project.

Input Schema

NameRequiredDescriptionDefault
projectYesProject fields to create.

Output Schema

NameRequiredDescriptionDefault
titleYesProject title (1-255 characters).
can_redoYesTrue if a redo operation is available.
can_undoYesTrue if an undo operation is available.
chosen_llmNoThe name of the LLM model chosen for the project (e.g. CLAUDE_4_5_SONNET).
created_atNoProject creation timestamp (ISO 8601).
project_idYesProject UUID (database id).
usage_costNoAccumulated usage cost as a decimal string.
stories_countYesNumber of stories in the project.
messages_countYesNumber of messages in the project history.
design_descriptionNoProject description or design notes.
requirements_countYesNumber of requirements in the project.
extra_requirement_fieldsNoList of extra requirement fields.
interface_contracts_countYesNumber of interface contracts in the project.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.5/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, and openWorldHint=false, so safety is partially covered by structured data. However, the description adds nothing beyond that: it does not say what a created project contains, whether extra fields are optional, or what defaults apply to chosen_llm.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One short, front-loaded sentence with zero waste, but it is under-specified rather than genuinely concise. There is nothing extraneous because there is almost nothing at all.

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 a mutation tool with a nested required object, an output schema, and several sibling create/import variants, 'Create a new project' is too thin. The output schema excuses explaining return values, but nothing here orients the agent on the required 'title' vs optional fields or on mutation consequences.

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% and the nested 'project' object documents title, chosen_llm, design_description, and extra_requirement_fields thoroughly, so the schema carries the burden. With only one top-level parameter, baseline 3 is appropriate; the description adds no extra parameter meaning.

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 description gives a clear verb+resource ('Create a new project'), which is better than a pure tautology, but it offers no differentiation from siblings such as projects_import, projects_update, or stories_create. An agent cannot tell from this line why it would pick projects_create over projects_import.

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 when-to-use guidance, no prerequisites, and no mention of alternatives like projects_import. The only implied usage is the self-evident 'you want a new project', with nothing about the chosen_llm/design_description context that distinguishes this call.

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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