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Glama

Boosthis

by com.boosthis

Recent Samples

boosthis_recent_samples
Read-only

Individual per-screen samples are not served over this hosted connection: an install uploads the aggregate snapshot, not the raw per-sample stream, so the answer is that fact and a pointer, never a list. Per-screen aggregates: boosthis_session_summary. Individual measurements: the Recent measurements page in the Boosthis dashboard. Read-only. More projects: your_projects; a shared project_group is one project in several runtimes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoOptional screen filter.
limitNo
projectNoProject to read: dashboard name, 'name (runtime)' or install id; needs account_token, else the newest reporter.
install_idNoInstall id (dashboard card).
read_tokenNoRead-only token, same card.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed2 schema fields changed
    • changedInput schema / properties / install_id / description
      Previous value: -"Install id, from the dashboard card."New value: +"Install id (dashboard card)."
    • changedInput schema / properties / project / description
      Previous value: -"Project to read: dashboard name, 'name (runtime)', or install id. Needs account_token; absent, the most recent reporter."New value: +"Project to read: dashboard name, 'name (runtime)' or install id; needs account_token, else the newest reporter."
  2. Changed2 schema fields changed
    • changedInput schema / properties / install_id / description
      Previous value: -"Install id, from the project's dashboard card."New value: +"Install id, from the dashboard card."
    • changedInput schema / properties / read_token / description
      Previous value: -"Read-only token for it, from the same card."New value: +"Read-only token, same card."
  3. Changed3 schema fields changed
    • changedInput schema / properties / install_id / description
      Previous value: -"Optional: the install id to read live data for. On the HOSTED Boosthis MCP, copy it from the in-app dashboard's \"Connect your AI\" card and pass it here. Omit on a local stdio server (it uses BOOSTHIS_INSTALL_ID from the env)."New value: +"Install id, from the project's dashboard card."
    • changedInput schema / properties / project / description
      Previous value: -"Which project in the account to read — its dashboard name, that name with a runtime as 'name (runtime)', or an install id. Only meaningful with account_token."New value: +"Project to read: dashboard name, 'name (runtime)', or install id. Needs account_token; absent, the most recent reporter."
    • changedInput schema / properties / read_token / description
      Previous value: -"Optional: the SELF-scoped read token for that install (paired with install_id). It is read-only — it can read this app's own perf data but CANNOT delete it. Copy it from the in-app dashboard. Omit on a local stdio server (it uses BOOSTHIS_READ_TOKEN from the env)."New value: +"Read-only token for it, from the same card."
  4. Changed1 schema field changed
    • changedInput schema / properties / project / description
      Previous value: -"Which project in the account to read — its name as shown on the Boosthis dashboard (for example 'Rival Web'), a specific runtime of it as 'name (runtime)', or an install id. A project measured in several runtimes answers with its most recent one and names the others in `your_projects`. Only meaningful with account_token; absent, the answer is whichever project reported most recently."New value: +"Which project in the account to read — its dashboard name, that name with a runtime as 'name (runtime)', or an install id. Only meaningful with account_token."
  5. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Beyond the readOnlyHint annotation, the description discloses a key behavioral constraint: the hosted connection only receives aggregate snapshots, not raw sample streams, and the tool will never return a list. It also explains the output shape is a fact and a pointer, which is essential for setting agent expectations.

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

Conciseness4/5

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

The description is front-loaded with the most important behavioral fact and is reasonably dense with useful guidance. Some phrasing is cryptic, such as 'your_projects' and the project_group note, but there is no wasted filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of an output schema, the description adequately explains that the response is a fact and a pointer rather than sample data, and names the relevant alternatives. It could be more explicit about the exact return format, but for a simple read-only routing tool it is largely complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is high at 80%, so the baseline is 3. The description adds meaningful context about project selection, noting that a shared project_group is one project in several runtimes and referencing your_projects, which supplements the schema's project parameter description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly communicates that this tool does not provide per-screen sample lists, and that the answer is a fact plus a pointer. It distinguishes this from boosthis_session_summary and the dashboard's Recent measurements page, though it states the purpose somewhat indirectly through negation rather than a direct 'returns X' statement.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly tells the agent when not to use this tool for individual samples, and routes to boosthis_session_summary for per-screen aggregates and to the dashboard for individual measurements. This provides clear when-to-use and when-not-to-use guidance relative to alternatives.

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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TDQS

A3.9/5.0
Disambiguation4/5

Most tools target a distinct resource or workflow: alerts, budgets, crashes, traces, jobs, promises, kits, and rules. A few summary-style tools such as snapshot, session_summary, and what_should_i_look_at_next overlap in spirit, but their descriptions clarify the different aggregation levels and purposes.

Naming Consistency4/5

All tools share the consistent boosthis_ snake_case prefix, making the family immediately recognizable and predictable. However, naming mixes noun-resource styles with verb-command styles, and a few names are question-like phrases such as boosthis_what_should_i_look_at_next and boosthis_which_kits.

Tool Count3/5

At 26 tools, this is on the heavy side and slightly past the 16-25 range where a large toolset starts to feel burdensome. The count is defensible because each tool maps to a distinct observability or kit-management concern, but agents will need to do significant selection work.

Completeness4/5

The surface covers a broad lifecycle: kit installation and verification, rules and code matching, performance snapshots and trends, crash risk, release checks, promises, alerts, and connection status. It is mostly read-only by design, so the lack of write operations beyond remember_promise is not a major gap, though alert and job management actions are intentionally absent.

Resources