Load additional Telora tool domains on demand. At startup only core tools (product, strategy, delivery, issue) are available. Use this to load domains for: agent, role, escalation, AI, blocked, help, context, document, knowledge, background, link, factory, blueprint, spec, instance, build, produc...
Admin/system-level operation
Part of the Mcp Products MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents invoke telora_discover to trigger processes or run actions in Mcp Products. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
telora_discover can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
tools:
telora_discover:
rules:
- action: allow
rate_limit:
max: 10
window: 60
validate:
required_args: true See the full Mcp Products policy for all 11 tools.
Agents calling execute-class tools like telora_discover have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
telora_discover is one of the high-risk operations in Mcp Products. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.
Load additional Telora tool domains on demand. At startup only core tools (product, strategy, delivery, issue) are available. Use this to load domains for: agent, role, escalation, AI, blocked, help, context, document, knowledge, background, link, factory, blueprint, spec, instance, build, production, automated, OKR, objective, key result, goal, target, alignment, measurable, idea, brainstorm, capture, connection, cluster, innovation, workflow, state machine, transition, guard, policy, lifecycle, stage, report, stakeholder, weekly, digest, summary, progress, template, cadence, playbook, pattern, audit, instantiate, repeatable, save point, snapshot, checkpoint, restore, rollback, commit, revert, worktree, deployment, profile, CI/CD, environment, infrastructure, deploy, PM, product manager, contact, email, action plan, session, risk, register, mitigation, dependency, communication, impact, likelihood, cascade, loop, question, answer, persona, intent, differential, signal, reality, metrics, projection, variance, evaluate, brief, tree, CRT, FRT, node, edge, injection, root cause, Goldratt. Available domains: agent: AI agent roles and human-AI escalation management (1 tool, 5 actions) context: Product context documents and linking to strategies/deliveries (2 tools, 7 actions) factory: Factory blueprints, specs, and instances for automated software production (3 tools) okr: OKR goal-setting: objectives, key results, strategy alignment (3 tools, 10 actions) ideas: Idea cloud: continuous capture, brainstorming, connections, clusters (3 tools, 12 actions) workflows: Workflow state machines with transition guards and policy automation (1 tool, 5 actions) reports: Stakeholder reports and templates: AI-generated digests, risk assessments, custom report types (2 tools, 8 actions) playbooks: Playbook templates for repeatable execution patterns (1 tool, 4 actions) save_points: Product save points: named git commit snapshots for rollback and review (1 tool, 8 actions) profiles: Deployment profiles for CI/CD and environment configuration (1 tool, 5 actions) pm: PM agent tools: contacts, action plan, email, context, sessions (5 tools) risks: Risk register: risk CRUD, risk-to-risk links, strategy links, external dependency tracking, communication log (3 tools, 17 actions) loops: Loop data, reality metrics, reality trees, and Loop Agent: intent plane + execution reality + differential receiver (10 tools, 35 actions) Use action 'list' to see all domains with their tool indexes (what tools and actions each domain provides). Use action 'load' with a domain name or 'all' to load tools.. It is categorised as a Execute tool in the Mcp Products MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Add a rule in your Intercept YAML policy under the tools section for telora_discover. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Mcp Products MCP server.
telora_discover is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the telora_discover rule in your Intercept policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the Intercept policy for telora_discover. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
telora_discover is provided by the Mcp Products MCP server (@telora/mcp-products). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept