Unofficial Tesoro High School MCP
Server Details
Read-only search over Tesoro High School's public documents. Unofficial, unaffiliated.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Available Tools
2 toolsget_documentFetch a tesoro.help documentARead-onlyIdempotentInspect
Fetch one public corpus document by id. Unknown id is a typed miss with no document fields.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already provide readOnlyHint=true, idempotentHint=true, openWorldHint=false, and destructiveHint=false. The description adds a specific behavioral trait beyond that: an unknown id yields a 'typed miss with no document fields', which informs the agent about failure semantics. This is useful context not covered by the annotations.
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?
The description is a single, tight sentence with no superfluous words. It front-loads the core action ('Fetch one public corpus document by id') and appends a concise edge-case detail. This is appropriately sized for a simple one-parameter 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?
For a simple read tool with a single parameter and no output schema, the description covers the essential context: what the tool fetches, its public scope, and the failure behavior for unknown ids. It does not describe the shape of the returned document, but given there is no output schema and the tool is straightforward, this is a minor gap.
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?
The schema exposes a single required string parameter 'id' with no description (0% schema coverage). The description only says 'by id', which essentially restates the parameter name and tool name. It does not explain id format, length, expected values, or any validity constraints—so the agent gets no real guidance beyond the obvious.
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 states a specific verb ('Fetch'), a specific resource ('one public corpus document'), and the retrieval key ('by id'). It also clarifies the scope with 'public corpus', which implicitly distinguishes it from the sibling search_school. The unknown-id detail adds specificity without blurring the core purpose.
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?
The description does not mention when to use this tool versus the sibling search_school or when not to. There is no explicit routing guidance, no mention of alternatives, and no exclusions. The agent must infer that fetch-by-id is for direct lookups, while search is for queries—but this is not stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
search_schoolSearch Tesoro High School documentsBRead-onlyIdempotentInspect
Search Tesoro public documents, the Capistrano USD parent pages Tesoro does not publish, the district's Health-e Living nutrition site, and school-wide parent bulletins (flyers and Instagram stills). Pass the parent's question verbatim; stopword removal, ranking and typo correction happen server-side. Returns an outcome (direct_answer, helpful_route, or not_found) plus snippet hits with provenance. not_found means the public corpus does not establish the answer.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| query | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare the tool as read-only and non-destructive. The description adds value by disclosing server-side processing (stopword removal, ranking, typo correction) and the return format (outcome plus snippet hits with provenance), which goes beyond the structured annotations.
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?
The description is appropriately sized with two sentences, front-loading the search scope and then covering processing and return. It is efficient and structured, though the limit parameter is not mentioned, which could be seen as an omission rather than conciseness.
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?
Given the 2-parameter schema and no output schema, the description covers the return format and the meaning of 'not_found', and explains the query parameter. However, it omits any explanation of the limit parameter, and does not clarify how the tool relates to get_document. These gaps reduce completeness for correct invocation.
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 must compensate for both parameters. It adequately explains the query parameter ('Pass the parent's question verbatim', with server-side processing) but provides no guidance for the limit parameter (e.g., its purpose, default behavior, or impact on results). This partial coverage leaves a gap.
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 clearly states the tool searches across a specific set of Tesoro-related sources (public documents, Capistrano USD pages, nutrition site, parent bulletins), which distinguishes it from a generic document search. However, it does not explicitly contrast with the sibling get_document, though the intent is inferable.
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?
Provides clear context on what to search and instructs to pass the parent's question verbatim, but does not specify when to prefer this over get_document or any exclusion conditions. The guidance is implicit rather than explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
2 tool updates
- First observed
get_document - First observed
search_school
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TDQS
get_document and search_school have clearly distinct purposes: one retrieves a specific document by ID, the other performs a semantic search across multiple sources. There is no ambiguity about which tool to use for a given task.
Both tools follow the consistent verb_noun pattern (get_document, search_school). The naming is predictable and aligned with their functionality, with no mixing of conventions.
With only two tools, the surface feels thin for a school information server. While the narrow scope (search and retrieval) might justify this, it borders on minimal coverage, which is appropriate but not well-rounded.
For the stated purpose of answering questions from public documents, the combination of search_school for broad queries and get_document for specific follow-ups covers the core workflow. However, there is no explicit way to list or enumerate available documents, which is a minor gap.