"Understanding and Writing Unit Tests" matching MCP tools:

• check_test

  Zephex

  Run tests and return structured health — fix_first, broken_areas, failure_clusters, coverage_by_area, blind_spots, deploy probes. Not for finding which files to edit (find_code). Workflow: task=detect (0 credits — framework, command, test file count, missing-test gaps) → task=run once (1 credit hosted on success) → task=failures|missing|why|status|fix_prompt on session_id (0 credits, cached session, no re-run). task=missing scans git diff for source files without tests (0 credits, no suite run). meta.credits and meta.charges_usage show billing. Read summary and fix_first first; detail_level=brief on PASS. Call after every substantive edit, when user asks if tests pass or if tests are missing, or before push. Pass diff_base: main for failures_in_diff. area/file_filter scopes re-runs after a full run. Local stdio: absolute project path (runs on your machine). Hosted: public GitHub URL or inline_files — not local disk paths. NOT for symbols (find_code), packages (check_package), stack brief (get_project_context), URL audit (audit_headers). Example: check_test({ task: "detect", path: "/abs/my-app" }) then check_test({ task: "missing", path: "/abs/my-app" }) then check_test({ task: "run", path: "/abs/my-app" }). Does not modify source.

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• heal

  Silicon Pantheon

  Mutating. Heal an adjacent allied unit. Only units with the heal ability (typically Mages) can use this. healer_id is your healing unit (must be READY or MOVED); target_id is an adjacent allied unit that is damaged. Restores HP based on the healer's magic stat. After healing, the healer's status becomes DONE for this turn. Use get_legal_actions on the healer to see which allies are valid heal targets. Returns the amount healed and the target's updated HP.

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• vector_quantize

  IA-QA — 130+ QA & Dev Tools for AI Agents

  Simulate int8 or int4 quantization of float32 embedding vectors. Reduces storage by 4x (int8) or 8x (int4). Returns quantized values, scale factor, and precision loss (MSE). Useful for understanding vector DB compression trade-offs.

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• motion_catalog

  MotionSpec — verified web motion (reduced-motion / WCAG)

  Returns the catalog of verified motion primitives (names, purpose, parameter schemas, defaults) plus the authoring rules for writing a MotionSpec. Call this FIRST, then write the spec yourself and pass it to motion_compile.

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• p_value

  calc.engineer

  Calculate the p-value for a z-score or t-statistic. Supports one-tailed (left or right) and two-tailed hypothesis tests using either the standard normal distribution or the Student's t-distribution when degrees of freedom are specified. Returns significance flags at the 0.01, 0.05, and 0.10 alpha levels. Essential for interpreting results from t-tests, z-tests, ANOVA post-hoc comparisons, and regression coefficients. Uses the Abramowitz & Stegun normal CDF approximation and regularized incomplete beta function for the t-distribution.

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• ic_headsets_get_unit

  Immersive Commons

  Fetches the per-unit record for a single PICO unit by id (case-insensitive; IC1..IC8). Returns 404 if the id isn't in the fleet. Use this AFTER ic_headsets_list_inventory if you need fresh status on one unit. Args: { id: string }. Returns: HeadsetRecord. Required scope: headsets:read.

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• ir_load_context

  website-search

  Load Lenny Zeltser's IR report writing context for local analysis. Returns expert guidelines for field completeness, incident identification, notification triggers, and writing quality. Includes rating-sheet items (lens taxonomy plus the IR-specific Information sheet) as concrete reference points for grounded feedback. This server never requests your incident notes and instructs your AI to keep them local. Use detail_level to control response size: "minimal" (~2k tokens), "standard" (~5k tokens), or "comprehensive" (~11k tokens).

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• view-hmr-unit-tests

  hmr

  The unit tests (code examples) for HMR. Always call `learn-hmr-basics` and `view-hmr-core-sources` to learn the core functionality before calling this tool. These files are the unit tests for the HMR library, which demonstrate the best practices and common coding patterns of using the library. You should use this tool when you need to write some code using the HMR library (maybe for reactive programming or implementing some integration). The response is identical to the MCP resource with the same name. Only use it once and prefer this tool to that resource if you can choose.

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• rating_score_writing

  website-search

  Get Lenny Zeltser's scoring playbook so your AI can score a draft locally against a cybersecurity-writing rating sheet. THIS IS THE ONLY TOOL THAT PRODUCES NUMERIC SCORES — the writing-coach tools (`get_security_writing_guidelines`, `ir_*`, `product_*`) never score. Returns the rubric plus step-by-step instructions for applying it. This server never requests your draft and instructs your AI to keep it local—rating sheets and scoring instructions flow to your AI.

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• rating_load_context

  website-search

  Load Lenny Zeltser's complete cybersecurity-writing rating toolkit: all 7 sheets, scoring policy, scoring playbook, and cross-references to the writing guidelines. This server never requests your draft and instructs your AI to keep it local—rating sheets and scoring instructions flow to your AI.

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• openaq_list_parameters

  openaq-mcp-server

  Catalog of every measurable pollutant and its canonical unit: id, code, display name, unit, and a one-line description (pm25, pm10, o3, no2, so2, co, bc, and ~38 more). This is the unit-disambiguation reference — the same pollutant exists under several ids with different units (CO is id 4 in µg/m³, id 8 in ppm, id 102 in ppb), so use this to pick the exact parametersId for openaq_find_locations / openaq_get_readings / openaq_get_measurements and to interpret a reading's unit. A small bounded catalog fetched live from OpenAQ.

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• get_coverage

  Quantabble — AP Science Misconception Diagnostics

  Returns the list of subjects and unit counts covered by Quantabble. Use this to check whether a student's topic is within scope before calling diagnose_response.

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• integration

  rocketsloth

  Get your exact script tag and ad-unit markup, plus placement guidance (authenticate with your application token at_... or API token sk_...). Available immediately after apply. Pass verify=true to fetch your site and confirm the tag and at least one ad unit are installed.

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• get_content_principles

  Raven

  Get UX-writing principles — clarity over cleverness, active voice, error-message anatomy, inclusive language, voice vs tone, and more. Filter by the writing context (e.g. 'error messages', 'notifications', 'form labels').

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• move

  Silicon Pantheon

  Mutating. Move one of your units to a destination tile. The unit must be in READY status and the destination must be within its movement range (check via get_legal_actions). unit_id is the unit's string identifier. dest is an {x, y} dict for the target tile. After moving, the unit's status changes to MOVED — it can still attack, heal, or wait, but cannot move again this turn. Returns the updated unit state. Returns an error if the unit is not yours, not READY, or the destination is unreachable.

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• attack

  Silicon Pantheon

  Mutating. Attack an enemy unit, resolving combat and counter-attack immediately. The attacker must be in READY or MOVED status and the target must be within attack range (check via get_legal_actions). unit_id is your attacking unit; target_id is the enemy unit. Both units may take damage; either may die. After attacking, the unit's status becomes DONE for this turn. Use simulate_attack first to preview the outcome without committing. Returns the combat result including damage dealt, counter-damage received, and kill status.

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• baselight_get_table_metadata

  Baselight

  Retrieve detailed schema and metadata for a specific table using Baselight format @username.dataset.table. Use this to understand table structure, column types, and constraints before writing SQL queries. Tables must be referenced in SQL with double quotes.

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• list_unit_types

  Climatiq

  List supported unit-type families (Energy / Volume / Distance / Mass / etc.) and their valid units.

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• get_granule

  Govinfo

  Fetch summary metadata for a single granule (sub-unit) within a GovInfo package, given package_id and granule_id (both from list_granules). Returns title, class, and provenance fields from the GovInfo summary endpoint.

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• discover

  XFMS — Model Source

  Show which quality dimensions matter for a stated purpose, WITHOUT ranking any models. Returns the inferred weights and the discovery-walk trace. Useful for understanding how XFMS interprets the purpose before committing to a pick.

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