A persistent intention layer for AI agents. Injects a soul document into model system prompts before each session. REST API + MCP server. Auth via X-API-Key header.
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Average 4.3/5 across 1 of 1 tools scored.
With only a single tool, there is no possibility of confusion or misselection. The tool's purpose is clear and distinct.
The sole tool name follows a clear verb_noun pattern (get_intention). With only one tool, naming consistency is trivially achieved.
The server has just one tool, which feels thin for a general-purpose assistant. However, for the extremely narrow scope of fetching a soul document, the count is arguably sufficient but still borderline.
The single tool fully covers the server's stated purpose of retrieving a philosophical grounding text. There are no obvious missing operations within this narrow domain.
get_intentionAInspectFetch a ManifestYOU soul document — a short philosophical grounding text designed to be injected into an AI system prompt before a session begins. Call this at the start of a session to orient the model toward stillness, precision, or creative expansion before work. Paste the returned soul_document into your system prompt or before the first user message.
| Name | Required | Description | Default |
|---|---|---|---|
| session_type | No | Session orientation. analytical=precision and decision support. creative=generative and brand work. customer_service=grounded and human-facing. general=default. | general |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full transparency burden and does it well. It explains the output is a 'soul_document' meant for injection, implies the text varies by session orientation ('stillness, precision, or creative expansion'), and states the recommended placement. It doesn't explicitly call out that the operation is read-only, but 'Fetch' naturally implies no side effects, making this sufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three sentences, front-loaded with the core purpose, followed by usage and placement. Every sentence earns its place – no filler or repetition. Perfectly sized for a simple tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple (one optional param, no output schema) and the description covers what it returns ('soul_document'), when to call it (session start), and how to use it (paste into system prompt). This is complete for an agent to select and invoke correctly without ambiguity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema has 100% coverage with enum descriptions already explaining each session_type value. The description adds contextual color ('stillness, precision, or creative expansion') that maps to the parameter but doesn't add any technical detail beyond the schema. Baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with 'Fetch a ManifestYOU soul document' – a specific verb and resource – and immediately clarifies what that document is ('a short philosophical grounding text'). It clearly distinguishes the tool's role from any other by explaining its unique purpose (system prompt injection before sessions).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicit 'when' guidance: 'Call this at the start of a session to orient the model...' and 'Paste the returned soul_document into your system prompt or before the first user message.' No alternatives are mentioned (there are no siblings), so no exclusion guidance is needed; this is clear and actionable.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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For server owners:
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The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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