Get project asset
get_project_assetGet the asset (website/product) associated with a project — URL, name, description, solution profile.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| projectId | Yes |
get_project_assetGet the asset (website/product) associated with a project — URL, name, description, solution profile.
| Name | Required | Description | Default |
|---|---|---|---|
| projectId | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already carry the readOnlyHint:true and there is no contradiction. The description adds value by exposing the shape of the returned data (URL, name, description, solution profile), which is meaningful contextual benefit beyond the annotation. However, it omits behavioral details like what happens for a project with no associated asset, whether an error or null is returned, or whether the 'solution profile' is a nested object.
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?
Exactly one sentence, zero filler. The core action is front-loaded ('Get the asset'), the disambiguator follows immediately, and the return fields are listed efficiently with em dashes. Every word earns its place.
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 low-complexity, single-parameter, read-only tool, the description is nearly sufficient: annotations signal safety, and the field list partially substitutes for a missing output schema. The notable gap is the unresolved edge case of a project with no asset — it's unclear whether that yields null, an empty object, or an error — which an agent would likely hit in practice.
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 description coverage is 0%, so the description should compensate but does not directly address projectId at all. That said, there is only a single parameter whose self-documenting name and strict UUID pattern (including two sentinel zero/ones patterns) largely carry the meaning. The description's field list is about the return value, not the parameter, so the description adds no semantic detail about how projectId behaves or what valid values mean.
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 uses a clear verb-resource pair: 'Get the asset ... associated with a project' and disambiguates the potentially vague term 'asset' with the parenthetical '(website/product)'. It goes further to enumerate the return contents ('URL, name, description, solution profile'), which pins down the tool's responsibility. It loses a point because, among the 59 siblings with many get_* tools (get_project, get_page_dossier, get_starting_point_report), the description doesn't fully clarify when this specific 'asset' resource is the right one to fetch.
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?
No guidance is provided on when to call this tool versus its 58 siblings. There is no mention of alternatives, preconditions (e.g., must the project exist? must an asset first be created via 'resync_asset_profile' or 'register_derived_asset'?), or scenarios where this specific read is appropriate. Given the large sibling set, even a single sentence of routing context would meaningfully help.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools have distinct purposes, but a few pairs could confuse an agent: add_article_suggestion vs create_article_suggestion_with_input, and get_article_brief vs download_brief_markdown vs get_write_handoff all deal with brief content. The detailed descriptions help disambiguate, but the overlap is real.
All tool names follow a consistent verb_noun pattern in lowercase snake_case (create_project, list_opportunities, generate_article_brief, lint_draft). There is no mixing of camelCase, acronyms, or vague verbs, making the naming predictable and readable.
50 tools is excessive for an MCP server, even for a broad platform like content operations. While the scope is large, this many tools will overwhelm agents and increase latency and context cost. Most practical servers are well under 25.
The tool surface covers the full content lifecycle: project creation, research, opportunity clustering, content planning, briefs, drafting, linting, publishing, and reporting. Minor gaps exist (e.g., no delete_project, no remove_destination, no direct analytics beyond distributions), but they are workarounds or handled in the web UI.