get_open_core_facts
The open-core licensing and sovereignty facts: the BSL 1.1 → Apache-2.0 ratchet, the three-ring 'door out' (Usage Policy §0), and why the exit is the trust.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
The open-core licensing and sovereignty facts: the BSL 1.1 → Apache-2.0 ratchet, the three-ring 'door out' (Usage Policy §0), and why the exit is the trust.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
readOnlyHint=true already tells the agent this is a safe read with no side effects. The description adds that the content concerns specific licensing facts and an 'exit is the trust' rationale, which is topical context rather than behavioral disclosure. With no parameters or mutations, the remaining burden is light, so a 3 is appropriate.
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?
It's a single sentence, which is structurally efficient, but the sentence is dense and allusive (the 'ratchet,' the 'three-ring door out,' 'the exit is the trust') rather than front-loading a plain statement of what the tool returns. Some of the phrasing reads as marketing copy rather than functional summary.
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?
For a no-parameter, read-only informational tool, the description is roughly sufficient because there's little invocation complexity to convey. However, it never plainly states the output form or scope (is it a single fact sheet, a document, a set of sections?), leaving the agent to infer the return from allusive prose.
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?
There are zero parameters, so per the rubric the baseline is 4. Nothing in the description could add parameter meaning, and none is needed.
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 names a specific resource ('open-core licensing and sovereignty facts') and hints at content topics (BSL ratchet, three-ring door out), so an agent can infer it returns static informational facts. But the phrasing is thematic rather than a clear verb+resource statement, and it doesn't explicitly say it retrieves content versus, say, explaining it. It's distinguished from siblings like get_blog_post somewhat but not crisply.
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?
There's no statement of when to use this tool versus alternatives such as get_site_info or whats_new. The topics listed imply it's the tool for licensing/sovereignty questions, but the agent gets no explicit trigger or exclusion criteria.
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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